Triple

T9131395
Position Surface form Disambiguated ID Type / Status
Subject Octavia Spencer as Aunt Honey E219093 entity
Predicate directorOfWork 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: [Octavia Spencer as Aunt Honey, directorOfWork, Tate Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tate Taylor
Context triple: [Octavia Spencer as Aunt Honey, directorOfWork, 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_69d0544f7be481908f247889363c0f32 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:18 p.m.