Triple

T14658191
Position Surface form Disambiguated ID Type / Status
Subject Up in Smoke E344163 entity
Predicate producer P490 FINISHED
Object Lou Adler E78497 NE FINISHED

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: [Up in Smoke, producer, Lou Adler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Adler
Context triple: [Up in Smoke, 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. 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.
  • E. Ronald Gene Dunn
    Ronald Gene Dunn is an American country music singer, songwriter, and record producer best known as one half of the duo Brooks & Dunn.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde175db5881908f88d2b3fd72bb52 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.