Triple

T864507
Position Surface form Disambiguated ID Type / Status
Subject James Bond E18670 entity
Predicate spouse P13 FINISHED
Object Tracy Bond E194260 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: Tracy Bond | Statement: [James Bond, spouse, Tracy Bond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracy Bond
Context triple: [James Bond, spouse, Tracy Bond]
  • A. Tracy Bond chosen
    Tracy Bond is a fictional character in the James Bond series, best known as the woman James Bond marries in the novel and film "On Her Majesty's Secret Service."
  • B. Tracy Stevens
    Tracy Stevens is best known as the wife of American basketball coach and executive Brad Stevens.
  • C. Tracy Wolfson
    Tracy Wolfson is an American sportscaster best known as a longtime CBS Sports sideline reporter for NFL and college basketball coverage.
  • D. Tracey Scott Wilson
    Tracey Scott Wilson is an American playwright, television writer, and screenwriter known for her work in theater and on series such as "The Americans" and "Fosse/Verdon."
  • E. Melinda Rogers
    Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac6acc148190bcc00a1e939ace77 completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0b24844819090904b831c73495c completed March 8, 2026, 4:15 p.m.
Created at: March 1, 2026, 7:39 p.m.