Triple
T1928428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man Who Knew Too Much (1934 film) |
E40884
|
entity |
| Predicate | notableSceneFeature |
P7326
|
FINISHED |
| Object |
Storm Clouds Cantata by Arthur Benjamin
"Storm Clouds Cantata" by Arthur Benjamin is a dramatic choral-orchestral piece best known for underscoring the climactic assassination attempt sequence in Alfred Hitchcock’s film "The Man Who Knew Too Much" (1934).
|
E215296
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Storm Clouds Cantata by Arthur Benjamin | Statement: [The Man Who Knew Too Much (1934 film), notableSceneFeature, Storm Clouds Cantata by Arthur Benjamin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm Clouds Cantata by Arthur Benjamin Context triple: [The Man Who Knew Too Much (1934 film), notableSceneFeature, Storm Clouds Cantata by Arthur Benjamin]
-
A.
Mathematical Magic Show
Mathematical Magic Show is a popular book by Martin Gardner that presents a collection of mathematically based puzzles, tricks, and recreations designed to reveal the surprising and entertaining side of mathematics.
-
B.
Conway’s Doomsday algorithm
Conway’s Doomsday algorithm is a mental calculation method devised by mathematician John Horton Conway for quickly determining the day of the week for any given date.
-
C.
When the Nines Roll Over
"When the Nines Roll Over" is a collection of contemporary short stories by David Benioff that explores themes of love, ambition, and disillusionment in modern urban life.
-
D.
The Big Operator
The Big Operator is a 1959 American crime drama film starring Mickey Rooney as a corrupt union boss, notable for featuring Maila Nurmi in a supporting role.
-
E.
Rudimental Divine Science
Rudimental Divine Science is a concise theological work by Mary Baker Eddy that outlines the fundamental principles and practice of Christian Science.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Storm Clouds Cantata by Arthur Benjamin Triple: [The Man Who Knew Too Much (1934 film), notableSceneFeature, Storm Clouds Cantata by Arthur Benjamin]
Generated description
"Storm Clouds Cantata" by Arthur Benjamin is a dramatic choral-orchestral piece best known for underscoring the climactic assassination attempt sequence in Alfred Hitchcock’s film "The Man Who Knew Too Much" (1934).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Storm Clouds Cantata by Arthur Benjamin Target entity description: "Storm Clouds Cantata" by Arthur Benjamin is a dramatic choral-orchestral piece best known for underscoring the climactic assassination attempt sequence in Alfred Hitchcock’s film "The Man Who Knew Too Much" (1934).
-
A.
Mathematical Magic Show
Mathematical Magic Show is a popular book by Martin Gardner that presents a collection of mathematically based puzzles, tricks, and recreations designed to reveal the surprising and entertaining side of mathematics.
-
B.
Conway’s Doomsday algorithm
Conway’s Doomsday algorithm is a mental calculation method devised by mathematician John Horton Conway for quickly determining the day of the week for any given date.
-
C.
When the Nines Roll Over
"When the Nines Roll Over" is a collection of contemporary short stories by David Benioff that explores themes of love, ambition, and disillusionment in modern urban life.
-
D.
The Big Operator
The Big Operator is a 1959 American crime drama film starring Mickey Rooney as a corrupt union boss, notable for featuring Maila Nurmi in a supporting role.
-
E.
Rudimental Divine Science
Rudimental Divine Science is a concise theological work by Mary Baker Eddy that outlines the fundamental principles and practice of Christian Science.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableSceneFeature Context triple: [The Man Who Knew Too Much (1934 film), notableSceneFeature, Storm Clouds Cantata by Arthur Benjamin]
-
A.
notableScene
chosen
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
B.
notableLocationFeatured
Indicates that a particular location is prominently highlighted or showcased in relation to the subject.
-
C.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
-
D.
notableCastFeature
Indicates that a cast member has a distinctive or noteworthy characteristic, role, or attribute that is especially significant in the context of the production.
-
E.
notableRouteFeature
Indicates that a route is associated with a distinctive or significant feature, such as a landmark, characteristic terrain, or other notable aspect along its path.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb26593308190835863b760449d04 |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3ed31448190a2e5d088ab5886b8 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf48412b08190b6ad0f3abf42a081 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf4f7c908819089ccdc881af10da9 |
completed | March 8, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.