Triple

T15861653
Position Surface form Disambiguated ID Type / Status
Subject Shelley Fabares E384600 entity
Predicate spouse P13 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: [Shelley Fabares, spouse, Lou Adler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Adler
Context triple: [Shelley Fabares, spouse, 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 (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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555c75688190aeae5bcf5bb92bb7 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025ec39a8819081c0cf996bc59416 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 4:50 a.m.