Triple

T4052203
Position Surface form Disambiguated ID Type / Status
Subject Michael Bluth E84609 entity
Predicate hasSpouse P13 FINISHED
Object Tracy Bluth E402624 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 Bluth | Statement: [Michael Bluth, hasSpouse, Tracy Bluth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tracy Bluth
Context triple: [Michael Bluth, hasSpouse, Tracy Bluth]
  • A. Tracey Bluth chosen
    Tracey Bluth is the deceased mother of George Michael Bluth and the late first wife of Michael Bluth in the television series "Arrested Development."
  • B. Tracy Benchley
    Tracy Benchley is a child of American author and screenwriter Peter Benchley, best known for writing the novel "Jaws."
  • C. Tracy Stevens
    Tracy Stevens is best known as the wife of American basketball coach and executive Brad Stevens.
  • D. Tracy Bond
    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."
  • E. Tracy Robinson
    Tracy Robinson is a Canadian business executive and the chief executive officer of Canadian National Railway, one of North America’s largest freight rail companies.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb869c34819097ec3bebe402d37b completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b501c008190ac115240328c6fc9 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:37 p.m.