Triple

T18912321
Position Surface form Disambiguated ID Type / Status
Subject Alan Shore E462637 entity
Predicate closeColleague P11349 FINISHED
Object Denny Crane 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: Denny Crane | Statement: [Alan Shore, closeColleague, Denny Crane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denny Crane
Context triple: [Alan Shore, closeColleague, Denny Crane]
  • A. Denny Crane chosen
    Denny Crane is a flamboyant, eccentric, and legendary defense attorney portrayed by William Shatner in the legal dramedy series "Boston Legal."
  • B. Paul Wexler
    Paul Wexler was an American character actor known for his distinctive deep voice and frequent roles in mid-20th-century film and television.
  • C. John Beckett
    John Beckett was a British politician who moved from the Labour Party to far-right politics and became a prominent figure in interwar British fascism.
  • D. Jack McCoy
    Jack McCoy is a fictional New York City prosecutor known for his aggressive, morally complex approach to trying cases in the long-running television series "Law & Order."
  • E. Lt. Daniel Kaffee
    Lt. Daniel Kaffee is a young, initially reluctant but sharp-witted U.S. Navy lawyer who becomes determined to uncover the truth in the military courtroom drama "A Few Good Men."
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c6238e288190b30311b5d80beafb completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.