Triple
T9131412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get on Up |
E219094
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Tate Taylor |
E132900
|
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: Tate Taylor | Statement: [Get on Up, director, Tate Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tate Taylor Context triple: [Get on Up, director, Tate Taylor]
-
A.
Tate Taylor
chosen
Tate Taylor is an American filmmaker and actor best known for directing films such as "The Help," "Get on Up," and the thriller "The Girl on the Train."
-
B.
Jeff Nichols
Jeff Nichols is an American filmmaker known for his character-driven, atmospheric dramas such as "Take Shelter," "Mud," and "Midnight Special."
-
C.
Oren Moverman
Oren Moverman is an Israeli-American screenwriter and director known for his work on acclaimed films such as "I'm Not There," "The Messenger," and "Rampart."
-
D.
Taylor Sheridan
Taylor Sheridan is an American filmmaker and actor best known for writing gritty crime thrillers like Sicario and creating the hit television series Yellowstone.
-
E.
J. C. Chandor
J. C. Chandor is an American filmmaker known for writing and directing character-driven dramas and thrillers such as "Margin Call," "All Is Lost," and "A Most Violent Year."
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8ceea6c81909f368f12dac1649c |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05bf328e8819098be6d42c04a8944 |
completed | April 4, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:18 p.m.