Triple

T10323979
Position Surface form Disambiguated ID Type / Status
Subject OJ Haywood E242711 entity
Predicate createdBy P806 FINISHED
Object Jordan Peele E50440 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: Jordan Peele | Statement: [OJ Haywood, createdBy, Jordan Peele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordan Peele
Context triple: [OJ Haywood, createdBy, Jordan Peele]
  • A. Jordan Peele chosen
    Jordan Peele is an American filmmaker, comedian, and actor best known for his genre-bending horror and social thriller films such as "Get Out," "Us," and "Nope."
  • B. Justin Simien
    Justin Simien is an American filmmaker and writer best known for creating and directing the satirical drama "Dear White People" and for his work exploring race and identity in contemporary media.
  • C. Justin Orange
    Justin Orange is the brother of Jason Orange, the English singer and former member of the pop group Take That.
  • D. Warrington Hudlin
    Warrington Hudlin is an American film producer and director known for his work on influential African-American cinema, including collaborations with his brother Reginald Hudlin.
  • E. Bradford Young
    Bradford Young is an acclaimed American cinematographer known for his evocative, naturalistic lighting and work on films such as Selma, Arrival, and Solo: A Star Wars Story.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ce683c8190bf5385dd04bf2de8 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb69410c81909b33e44a04ab77d9 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 11:51 a.m.