Triple

T5303002
Position Surface form Disambiguated ID Type / Status
Subject C. Vann Woodward E120028 entity
Predicate givenName P17 FINISHED
Object Comer E336029 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: Comer | Statement: [C. Vann Woodward, givenName, Comer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comer
Context triple: [C. Vann Woodward, givenName, Comer]
  • A. Comer chosen
    Comer is a surname most prominently associated with English actress Jodie Comer, known for her acclaimed role in the television series "Killing Eve."
  • B. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • C. Comer Children’s
    Comer Children’s is a pediatric hospital affiliated with the University of Chicago that provides specialized medical care for infants, children, and adolescents.
  • D. Tarbock
    Tarbock is a village in the Metropolitan Borough of Knowsley in Merseyside, England, known historically for its agricultural roots and rural character.
  • E. Cookson
    Cookson is an English surname borne by various notable individuals, including figures in the arts, entertainment, and literature.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851b685c8190b7ed8c762a807395 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10f3b9ac81909cd2ca2278b11d3e completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.