Triple
T14520357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trouble with the Curve |
E340632
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michele Weisler |
E1171046
|
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: Michele Weisler | Statement: [Trouble with the Curve, producer, Michele Weisler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele Weisler Context triple: [Trouble with the Curve, producer, Michele Weisler]
-
A.
Michele Weisler
chosen
Michele Weisler is a film producer known for her work on the war drama "5 Days of War."
-
B.
Hal Bidlack
Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
-
C.
George Weidler
George Weidler was an American saxophonist and band musician best known for his brief early marriage to singer and actress Doris Day.
-
D.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
-
E.
Terry Weissman
Terry Weissman is a software engineer best known for creating the initial version of the Bugzilla bug-tracking system at Netscape.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a70b15c81908773633e989ef704 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff755bbe608190a9a565218eee7005 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:22 a.m.