Triple

T7084000
Position Surface form Disambiguated ID Type / Status
Subject Jaws: The Revenge E165027 entity
Predicate editedBy P1954 FINISHED
Object Michael Brown E115966 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: Michael Brown | Statement: [Jaws: The Revenge, editedBy, Michael Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Brown
Context triple: [Jaws: The Revenge, editedBy, Michael Brown]
  • A. Michael Brown
    Michael Brown is an American actor better known professionally as Michael Ealy, recognized for his roles in films like "Barbershop" and "Think Like a Man" and the TV series "Almost Human."
  • B. Michael Brown chosen
    Michael Brown is a film and television editor known for his work on the biographical miniseries "Life with Judy Garland: Me and My Shadows."
  • C. Michael Brown
    Michael Brown is a musician best known as a member of the indie supergroup Gayngs.
  • D. Oscar Grant
    Oscar Grant was a young African American man whose 2009 killing by a transit police officer in Oakland, California, became a high-profile case highlighting issues of police brutality and racial injustice.
  • E. Duane Martin
    Duane Martin is an American actor and former basketball player best known for his roles in 1990s films and television series, often portraying charismatic, athletic characters.
  • 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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5102be08190bbde790bfa8fe9e2 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7948094ec8190856870dfd59fc13a completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:40 p.m.