Triple
T15311955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mud |
E366058
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jeff Nichols |
E585585
|
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: Jeff Nichols | Statement: [Mud, screenwriter, Jeff Nichols]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Nichols Context triple: [Mud, screenwriter, Jeff Nichols]
-
A.
Jeff Nichols
chosen
Jeff Nichols is an American filmmaker known for his character-driven, atmospheric dramas such as "Take Shelter," "Mud," and "Midnight Special."
-
B.
Tate Taylor
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."
-
C.
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.
-
D.
Rhett Akins
Rhett Akins is an American country music singer and songwriter known for his solo hits in the 1990s and for penning numerous chart-topping songs for other country artists.
-
E.
Scott Cooper
Scott Cooper is an American filmmaker and screenwriter known for directing character-driven dramas and thrillers such as "Crazy Heart," "Out of the Furnace," and "Black Mass."
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01e70a308190a7d6b91178c39bd3 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:16 a.m.