Triple

T11422184
Position Surface form Disambiguated ID Type / Status
Subject Catherine Creek E270649 entity
Predicate hasCloseRelationshipWith P2830 FINISHED
Object Dolly Talbo E202303 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: Dolly Talbo | Statement: [Catherine Creek, hasCloseRelationshipWith, Dolly Talbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolly Talbo
Context triple: [Catherine Creek, hasCloseRelationshipWith, Dolly Talbo]
  • A. Dolly Talbo chosen
    Dolly Talbo is a gentle, eccentric older woman in Truman Capote’s novella "The Grass Harp," known for her independent spirit and close bond with the young narrator.
  • B. Bessie Barriscale
    Bessie Barriscale was an American stage and silent film actress prominent in the early 20th century.
  • C. Maysie Hoy
    Maysie Hoy is a Canadian film editor known for her work on numerous feature films, including collaborations with prominent directors such as Tyler Perry.
  • D. Hattie Bilson
    Hattie Bilson is a family member of American actress Rachel Bilson, known primarily in relation to the Bilson entertainment family.
  • E. Lola Burns
    Lola Burns is the glamorous yet beleaguered movie star protagonist of the 1933 screwball comedy film "Bombshell," satirizing Hollywood celebrity culture and studio manipulation.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d36004cc81908222321af88d2903 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.