Triple
T3672983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Vincent |
E77921
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Theodore Melfi |
E377397
|
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: Theodore Melfi | Statement: [St. Vincent, producer, Theodore Melfi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theodore Melfi Context triple: [St. Vincent, producer, Theodore Melfi]
-
A.
Theodore Melfi
chosen
Theodore Melfi is an American film director, producer, and screenwriter best known for helming character-driven comedies and dramas such as "Hidden Figures."
-
B.
John Melfi
John Melfi is an American television and film producer known for his work on acclaimed series such as "Sex and the City," "House of Cards," and "Rome."
-
C.
Gregory Mottola
Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
-
D.
Blake Snyder
Blake Snyder was an American screenwriter and influential author of the screenwriting guide "Save the Cat!", known for popularizing a widely used story-structure method in Hollywood.
-
E.
Mark Heyman
Mark Heyman is an American screenwriter and producer best known for co-writing the psychological thriller film "Black Swan."
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cde628c08190adc058d8d35a5e5d |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:25 p.m.