Triple

T20031481
Position Surface form Disambiguated ID Type / Status
Subject Surf City E497137 entity
Predicate producer P490 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: [Surf City, producer, Lou Adler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Adler
Context triple: [Surf City, producer, 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. Ray Nelson
    Ray Nelson was an American science fiction author and cartoonist best known for his short story "Eight O'Clock in the Morning," which inspired the film *They Live*.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66292a80c81908adf95766b3b4ac4 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.