Triple

T9328895
Position Surface form Disambiguated ID Type / Status
Subject Robert Wagner E224464 entity
Predicate workedWith P398 FINISHED
Object Jill St. John E111977 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: Jill St. John | Statement: [Robert Wagner, workedWith, Jill St. John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill St. John
Context triple: [Robert Wagner, workedWith, 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. Stefanie Powers
    Stefanie Powers is an American actress best known for her role as Jennifer Hart in the television series "Hart to Hart."
  • C. 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.
  • D. 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."
  • E. Aimee Boorman
    Aimee Boorman is an American gymnastics coach best known for guiding Simone Biles through her rise to becoming one of the most decorated gymnasts in history.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3aad3cc819089c9d7ca96034bc5 completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:39 p.m.