Triple
T16331299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crashing Towers |
E396559
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Hugh Huntley
Hugh Huntley was an actor known for his role in the early 1930s film "Crashing Towers."
|
E1209316
|
NE FINISHED |
How this triple was built (4 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: Hugh Huntley | Statement: [Crashing Towers, featuresActor, Hugh Huntley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Huntley Context triple: [Crashing Towers, featuresActor, Hugh Huntley]
-
A.
Leo Harrington
Leo Harrington is an American logician and mathematician known for his influential work in mathematical logic, particularly in recursion theory and set theory.
-
B.
Jack Hively
Jack Hively was an American film editor and director active in Hollywood during the mid-20th century, known for his work on numerous RKO Pictures productions.
-
C.
Charlie Hume
Charlie Hume is the son of Desmond Hume in the television series "Lost."
-
D.
Michael Haughton
Michael Haughton is best known as the father of the late R&B singer Aaliyah and as a figure associated with managing aspects of her early career.
-
E.
Mac Wilkins
Mac Wilkins is an American discus thrower and Olympic gold medalist renowned for setting multiple world records in the 1970s.
- 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: Hugh Huntley Triple: [Crashing Towers, featuresActor, Hugh Huntley]
Generated description
Hugh Huntley was an actor known for his role in the early 1930s film "Crashing Towers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugh Huntley Target entity description: Hugh Huntley was an actor known for his role in the early 1930s film "Crashing Towers."
-
A.
Leo Harrington
Leo Harrington is an American logician and mathematician known for his influential work in mathematical logic, particularly in recursion theory and set theory.
-
B.
Jack Hively
Jack Hively was an American film editor and director active in Hollywood during the mid-20th century, known for his work on numerous RKO Pictures productions.
-
C.
Charlie Hume
Charlie Hume is the son of Desmond Hume in the television series "Lost."
-
D.
Michael Haughton
Michael Haughton is best known as the father of the late R&B singer Aaliyah and as a figure associated with managing aspects of her early career.
-
E.
Mac Wilkins
Mac Wilkins is an American discus thrower and Olympic gold medalist renowned for setting multiple world records in the 1970s.
- F. None of above. chosen
Provenance (5 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4dfd9688190a749e48ebc055baf |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da915ac8190820acbe0db72c8a1 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002e6d02ac8190b04573d3261258b2 |
completed | May 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003042b0388190ab9cc52381d51169 |
completed | May 10, 2026, 7:14 a.m. |
Created at: April 10, 2026, 5:07 a.m.