Triple

T20877804
Position Surface form Disambiguated ID Type / Status
Subject Black Mass E514065 entity
Predicate author P4 FINISHED
Object Dick Lehr 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: Dick Lehr | Statement: [Black Mass, author, Dick Lehr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Lehr
Context triple: [Black Mass, author, Dick Lehr]
  • A. Dick Lehr chosen
    Dick Lehr is an American journalist and author best known for co-writing the true-crime book "Black Mass," which chronicles the story of Boston mobster Whitey Bulger and inspired the 2015 film adaptation.
  • B. Joe Schoen
    Joe Schoen is an American football executive best known as the general manager who helped lead the New York Giants’ recent roster rebuild and organizational turnaround.
  • C. Don Ressler
    Don Ressler is an American entrepreneur and co-founder of several online fashion and e-commerce ventures, best known for building subscription-based retail brands.
  • D. Ken Lemberger
    Ken Lemberger is a film producer known for his work on the 2006 adaptation of "All the King's Men."
  • E. Lou Scheimer
    Lou Scheimer was an American animator, producer, and co-founder of the studio behind many classic Saturday-morning cartoons, including "He-Man and the Masters of the Universe" and "Fat Albert and the Cosby Kids."
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c6775f108190a79cd5e8c31cecf6 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:45 p.m.