Triple

T22092573
Position Surface form Disambiguated ID Type / Status
Subject Rent: Live E545945 entity
Predicate director P255 FINISHED
Object Michael Greif 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 Greif | Statement: [Rent: Live, director, Michael Greif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Greif
Context triple: [Rent: Live, director, Michael Greif]
  • A. Michael Greif chosen
    Michael Greif is an American theatre director best known for staging acclaimed Broadway musicals such as Rent, Next to Normal, and Dear Evan Hansen.
  • B. Peter Landesman
    Peter Landesman is an American filmmaker, screenwriter, and former investigative journalist known for writing and directing politically charged dramas such as "Concussion" and "Parkland."
  • C. Ivo van Hove
    Ivo van Hove is a Belgian theatre director renowned for his innovative, minimalist reinterpretations of classic plays and films on major European and Broadway stages.
  • D. Daniel LeRoy
    Daniel LeRoy was an American lawyer and politician who became the inaugural Attorney General of the state of Michigan in the 19th century.
  • E. Rob Marshall
    Rob Marshall is an American film and theater director and choreographer best known for movie musicals such as "Chicago," "Into the Woods," and "Mary Poppins Returns."
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e6b1d881909bf0f4a52199354c completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.