Triple
T8361529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duel |
E197017
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
David Mann
David Mann is the harried, everyman motorist relentlessly terrorized by a mysterious truck driver in Steven Spielberg’s thriller film "Duel."
|
E729012
|
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: David Mann | Statement: [Duel, mainCharacter, David Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Mann Context triple: [Duel, mainCharacter, David Mann]
-
A.
David Mann
David Mann is an American actor and comedian best known for his recurring roles in Tyler Perry’s stage plays and films, particularly as the character Mr. Brown.
-
B.
Robert Mann
Robert Mann was a 19th-century American man best known as the son of influential education reformer Horace Mann.
-
C.
Don Hahn
Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
-
D.
Hank Corwin
Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
-
E.
Charles Lachman
Charles Lachman was a businessman and entrepreneur best known as a co-founder of the American cosmetics company Revlon.
- 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: David Mann Triple: [Duel, mainCharacter, David Mann]
Generated description
David Mann is the harried, everyman motorist relentlessly terrorized by a mysterious truck driver in Steven Spielberg’s thriller film "Duel."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Mann Target entity description: David Mann is the harried, everyman motorist relentlessly terrorized by a mysterious truck driver in Steven Spielberg’s thriller film "Duel."
-
A.
David Mann
David Mann is an American actor and comedian best known for his recurring roles in Tyler Perry’s stage plays and films, particularly as the character Mr. Brown.
-
B.
Robert Mann
Robert Mann was a 19th-century American man best known as the son of influential education reformer Horace Mann.
-
C.
Don Hahn
Don Hahn is an American film producer best known for overseeing several of Disney’s most acclaimed animated features, including Beauty and the Beast and The Lion King.
-
D.
Hank Corwin
Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
-
E.
Charles Lachman
Charles Lachman was a businessman and entrepreneur best known as a co-founder of the American cosmetics company Revlon.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8074e4588190b394d1622adca2cb |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc775a548819090c83d916b352f41 |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc872cc081909c75b3fb08b03e3f |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdd15b53748190966a94b7e8c04880 |
completed | April 2, 2026, 2:15 a.m. |
Created at: March 30, 2026, 6 p.m.