Triple
T13014187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving Willat |
E322501
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | The Man Who Won |
E1015105
|
NE FINISHED |
How this triple was built (2 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: The Man Who Won | Statement: [Irving Willat, directed, The Man Who Won]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Man Who Won Context triple: [Irving Willat, directed, The Man Who Won]
-
A.
The Man Who Won
chosen
The Man Who Won is a 1923 American silent Western film directed by Irving Cummings and produced by Irving Willat.
-
B.
The Man Who Had Everything
The Man Who Had Everything is a 1920s American silent film drama featuring actress Priscilla Bonner in a prominent role.
-
C.
The Man at Six
The Man at Six is a British mystery play, best known as a stage thriller by actor-playwright Frank Vosper.
-
D.
The Man Who Dared
The Man Who Dared is a 1946 American crime drama film featuring actress Tala Birell in a prominent role.
-
E.
The Autograph Man
The Autograph Man is a novel by Zadie Smith that satirically explores celebrity culture, identity, and obsession through the life of a professional autograph collector in contemporary London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecbb8f4819094d55eb07cb5ad97 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbc77f308190b3b47f7a092db434 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:50 p.m.