Triple

T7713913
Position Surface form Disambiguated ID Type / Status
Subject Peter Warrick E174833 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: [Peter Warrick, familyName, Warrick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warrick
Context triple: [Peter 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. McCordsville
    McCordsville is a growing suburban town in Hancock County, Indiana, known for its residential communities and proximity to Indianapolis.
  • E. Jeffersonville
    Jeffersonville is a small city in central Georgia that serves as the administrative and governmental hub of Twiggs County.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9009dfc288190b7e1e77a5d28e64f completed March 29, 2026, 10:36 a.m.
Created at: March 27, 2026, 4:04 p.m.