Triple

T16008543
Position Surface form Disambiguated ID Type / Status
Subject Bradley "Rooster" Bradshaw E388278 entity
Predicate notableRelative P367 FINISHED
Object Carole Bradshaw E1196909 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: Carole Bradshaw | Statement: [Bradley "Rooster" Bradshaw, notableRelative, Carole Bradshaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carole Bradshaw
Context triple: [Bradley "Rooster" Bradshaw, notableRelative, Carole Bradshaw]
  • A. Carole Bradshaw chosen
    Carole Bradshaw is a fictional character in the Top Gun film series, known as the mother of Bradley "Rooster" Bradshaw and the widow of Nick "Goose" Bradshaw.
  • B. Sharon Vaughn
    Sharon Vaughn is the mother of American actor and comedian Vince Vaughn.
  • C. Arlene Donovan
    Arlene Donovan is a film producer best known for her work on the acclaimed 1984 drama "Places in the Heart."
  • D. Gail Bartlett
    Gail Bartlett is known as the wife of former Dallas mayor and U.S. Congressman Steve Bartlett.
  • E. Beth Davenport
    Beth Davenport is a recurring character in the television series "The Rockford Files," where she works as a lawyer and often becomes involved in Jim Rockford’s cases.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15801a58881909805d0b90011e6ff completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fffee94e1c8190ae81e2d5be082982 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 4:55 a.m.