Triple

T15905379
Position Surface form Disambiguated ID Type / Status
Subject David Wingo E385697 entity
Predicate collaboratedWith P435 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: [David Wingo, collaboratedWith, Jeff Nichols]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Nichols
Context triple: [David Wingo, collaboratedWith, 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565956588190ba4726a2879b677d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe6e844481908227ec9e46ac9f4d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:52 a.m.