Triple

T8295520
Position Surface form Disambiguated ID Type / Status
Subject Ruth Warrick E194204 entity
Predicate familyName P18 FINISHED
Object Warrick E174833 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: Warrick | Statement: [Ruth Warrick, familyName, Warrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warrick
Context triple: [Ruth Warrick, familyName, Warrick]
  • A. Warrick chosen
    Warrick is a surname of English origin borne by various notable individuals across fields such as music, sports, and public life.
  • B. Kendallville
    Kendallville is a small city in Noble County, Indiana, known for its historic downtown, local lakes, and role as a regional hub in northeastern Indiana.
  • C. Kokomo
    "Kokomo" is a 1988 tropical-themed pop song by the Beach Boys that became one of their late-career hits and is widely associated with the film *Cocktail*.
  • D. Shelbyville
    Shelbyville is a small city in central Indiana that functions as a local commercial and residential hub within the greater Indianapolis region.
  • E. McCordsville
    McCordsville is a growing suburban town in Hancock County, Indiana, known for its residential communities and proximity to Indianapolis.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df73d4c81909ad9cf0786eb5a20 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68a3258481908fe04fed1d00c9ba completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:53 p.m.