Triple
T3051197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fences (2016 film) |
E83574
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Todd Black |
E200743
|
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: Todd Black | Statement: [Fences (2016 film), producer, Todd Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Black Context triple: [Fences (2016 film), producer, Todd Black]
-
A.
Todd Black
chosen
Todd Black is an American film producer known for his work on a wide range of Hollywood movies, including acclaimed dramas and major studio releases.
-
B.
Michael Farris
Michael Farris is an American lawyer and conservative activist best known for his leadership in the Christian homeschooling movement and his role in founding and guiding Patrick Henry College.
-
C.
Christian Broun
Christian Broun was a Scottish noblewoman best known as the mother of James Broun-Ramsay, 1st Marquess of Dalhousie, who served as Governor-General of India in the mid-19th century.
-
D.
Ken Blackwell
Ken Blackwell is a film editor known for his work on major action movies, including the 2010 film "The Expendables."
-
E.
Steve Morales
Steve Morales is a music producer known for his work in pop and dance genres, collaborating with various mainstream artists.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9bf274f88190a759f9ce3da47c35 |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eefa84f08190a178cc0674d8a3ab |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 3:01 p.m.