Triple

T21956334
Position Surface form Disambiguated ID Type / Status
Subject Leave No Trace E542196 entity
Predicate cinematographyBy P1953 FINISHED
Object Michael McDonough NE NERFINISHED

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 McDonough | Statement: [Leave No Trace, cinematographyBy, Michael McDonough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael McDonough
Context triple: [Leave No Trace, cinematographyBy, Michael McDonough]
  • A. Michael McDonough chosen
    Michael McDonough is a cinematographer known for his work on independent and feature films, including the drama "Darling Companion."
  • B. Michael McHugh
    Michael McHugh is a former Justice of the High Court of Australia known for his influential contributions to Australian constitutional and common law jurisprudence.
  • C. Michael Dougherty
    Michael Dougherty is an entrepreneur best known as a co-founder of the online real estate brokerage platform Redfin.
  • D. Michael Dougherty
    Michael Dougherty is an American filmmaker and screenwriter best known for genre films like Trick 'r Treat and Krampus and for directing the MonsterVerse installment Godzilla: King of the Monsters.
  • E. Andrew McDonough
    Andrew McDonough is a voice actor known for his role in the animated film "Return to Never Land."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124404f38819080bae736a52a51cd completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:59 p.m.