Triple
T8999691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marked Woman |
E215010
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jack L. Warner |
E105147
|
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: Jack L. Warner | Statement: [Marked Woman, producer, Jack L. Warner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack L. Warner Context triple: [Marked Woman, producer, Jack L. Warner]
-
A.
Jack Warner
Jack Warner was a British actor best known for his long-running role as the kindly police constable George Dixon in the television series "Dixon of Dock Green."
-
B.
Jack Warner
chosen
Jack Warner was a prominent American film executive and co-founder of Warner Bros. who played a key role in shaping Hollywood’s studio era.
-
C.
Harry Warner
Harry Warner was an American film executive and one of the founding brothers of the Warner Bros. studio, a major force in early Hollywood cinema.
-
D.
Louis B. Mayer
Louis B. Mayer was a powerful Hollywood film producer and studio executive who co-founded Metro-Goldwyn-Mayer (MGM) and became one of the most influential figures of the studio era.
-
E.
Dean Zanuck
Dean Zanuck is an American film producer and member of the prominent Zanuck filmmaking family, known for working on major Hollywood projects.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68e3b1f48190bbeafbce363fff53 |
completed | April 1, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0d987dc81908f1d74f390f18a9c |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.