Triple

T18094685
Position Surface form Disambiguated ID Type / Status
Subject Whisky a Go Go E433052 entity
Predicate foundedBy P104 FINISHED
Object Lou Adler 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: Lou Adler | Statement: [Whisky a Go Go, foundedBy, Lou Adler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Adler
Context triple: [Whisky a Go Go, foundedBy, Lou Adler]
  • A. Lou Adler chosen
    Lou Adler is an American record producer, music executive, and film director best known for his work with major artists of the 1960s and 1970s and for producing landmark albums like Carole King’s "Tapestry."
  • B. Barry Adelman
    Barry Adelman is a television producer best known for his work as an executive producer on comedy and entertainment programs.
  • C. Lenny Waronker
    Lenny Waronker is an American record producer and music executive known for his influential work at Warner Bros. Records and collaborations with numerous acclaimed artists.
  • D. Alan Balsam
    Alan Balsam is a film editor best known for his work on the comedy sequel "Police Academy 4: Citizens on Patrol."
  • E. Phil Clymer
    Phil Clymer is a British television producer known for his work in comedy and entertainment, and for being married to actress and comedian Rebecca Front.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1b670081908e1e1083436da04e completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.