Triple

T19251171
Position Surface form Disambiguated ID Type / Status
Subject The Lovin' Spoonful E481395 entity
Predicate pastMember P1168 FINISHED
Object Jerry Yester 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: Jerry Yester | Statement: [The Lovin' Spoonful, pastMember, Jerry Yester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerry Yester
Context triple: [The Lovin' Spoonful, pastMember, Jerry Yester]
  • A. Jerry Yester chosen
    Jerry Yester is an American musician and record producer best known for his work with the Lovin' Spoonful and his influential role in the 1960s and 1970s folk-rock scene.
  • B. John O’May
    John O’May is an actor known for his role in the Australian musical comedy film "Starstruck" (1982).
  • C. Jeff Fager
    Jeff Fager is an American television producer best known for leading and shaping the long-running CBS news magazine program "60 Minutes."
  • D. Ron Torbert
    Ron Torbert is an American NFL official who has served as a referee in multiple high-profile games, including Super Bowl LVI.
  • E. Bill Kunkel
    Bill Kunkel was an American Major League Baseball umpire and former pitcher who officiated in several World Series during his career.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb30bf6c819094c44aceb544a023 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.