Triple

T19453296
Position Surface form Disambiguated ID Type / Status
Subject Atlas Shrugged: Part I E486669 entity
Predicate castMember P1668 FINISHED
Object Michael Lerner 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 Lerner | Statement: [Atlas Shrugged: Part I, castMember, Michael Lerner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Lerner
Context triple: [Atlas Shrugged: Part I, castMember, Michael Lerner]
  • A. Michael Lerner chosen
    Michael Lerner was an American character actor known for his prolific film and television career, including an Academy Award–nominated role in "Barton Fink."
  • B. Michael Alan Lerner
    Michael Alan Lerner is an American screenwriter best known for co-writing the acclaimed biographical drama film "Love & Mercy" about Beach Boys leader Brian Wilson.
  • C. Michele Lerner
    Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
  • D. Jeffrey Lerner
    Jeffrey Lerner is a film and television producer known for his work as an executive producer on various projects, including the movie "Watch Over Me."
  • E. Michael Levin
    Michael Levin is a philosopher known for his work in epistemology, philosophy of race, and his controversial conservative views on social and political issues.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6339407a08190a3e0213bfbb4df3d completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.