Triple

T19358948
Position Surface form Disambiguated ID Type / Status
Subject The Liquidator E484224 entity
Predicate stars P1956 FINISHED
Object Jill St. John 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: Jill St. John | Statement: [The Liquidator, stars, Jill St. John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill St. John
Context triple: [The Liquidator, stars, Jill St. John]
  • A. Jill St. John chosen
    Jill St. John is an American actress best known for playing Bond girl Tiffany Case in the James Bond film "Diamonds Are Forever."
  • B. Gaynor Faye
    Gaynor Faye is a British actress and writer best known for her roles in popular UK television dramas and soaps such as Coronation Street and Emmerdale.
  • C. Stefanie Powers
    Stefanie Powers is an American actress best known for her role as Jennifer Hart in the television series "Hart to Hart."
  • D. Lorraine Taylor
    Lorraine Taylor is known as a former spouse of musician and bandleader Ike Turner, associated with his early personal life and career period.
  • E. Lindsay Wagner
    Lindsay Wagner is an American actress best known for her Emmy-winning role as Jaime Sommers in the television series "The Bionic Woman."
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190b343c81909734ba776fd196dc completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.