Triple

T8030486
Position Surface form Disambiguated ID Type / Status
Subject Angela Carter E186966 entity
Predicate familyName P18 FINISHED
Object Carter E93561 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: Carter | Statement: [Angela Carter, familyName, Carter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carter
Context triple: [Angela Carter, familyName, Carter]
  • A. Carter chosen
    Carter is a common English surname borne by numerous notable individuals, including the 39th U.S. president, Jimmy Carter.
  • B. Carter Verone
    Carter Verone is the ruthless Argentine drug lord and primary antagonist in the film "2 Fast 2 Furious."
  • C. Carter Heywood
    Carter Heywood is a witty, openly gay minority affairs liaison in the sitcom "Spin City," known for his sharp humor and social conscience.
  • D. Carter Chambers
    Carter Chambers is a terminally ill mechanic and family man who embarks on a globe-trotting adventure to fulfill his "bucket list" alongside a wealthy stranger in the film "The Bucket List."
  • E. Carter Roberts
    Carter Roberts is an American conservation leader best known as the longtime president and CEO of the World Wildlife Fund (WWF) in the United States.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecf0f2c819091899211003c461e completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56e812dc81908916fc7163ae344a completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:22 p.m.