Triple

T9790054
Position Surface form Disambiguated ID Type / Status
Subject Dope E237583 entity
Predicate cinematographyBy P1953 FINISHED
Object Rachel Morrison E282744 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: Rachel Morrison | Statement: [Dope, cinematographyBy, Rachel Morrison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Morrison
Context triple: [Dope, cinematographyBy, Rachel Morrison]
  • A. Rachel Morrison chosen
    Rachel Morrison is an American cinematographer acclaimed for her groundbreaking work on major films and for being the first woman ever nominated for the Academy Award for Best Cinematography.
  • B. Kathryn Morris
    Kathryn Morris is an American actress best known for her lead role as Detective Lilly Rush on the television series "Cold Case."
  • C. Rachel Moore
    Rachel Moore is a common personal name shared by multiple individuals, including figures in fields such as the arts, academia, and entertainment.
  • D. Sarah Brasfield
    Sarah Brasfield is known as the stepchild of American politician and former Nevada governor Jack Carter.
  • E. Emily Wilkinson
    Emily Wilkinson is an American social media personality and former patient coordinator best known as the wife of NFL quarterback Baker Mayfield.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbd9073c948190aa2e9e6b7ffe9022 completed April 12, 2026, 5:40 p.m.
Created at: March 30, 2026, 8:28 p.m.