Triple

T20068698
Position Surface form Disambiguated ID Type / Status
Subject John Harries E499676 entity
Predicate familyName P18 FINISHED
Object Harries NE NERFINISHED

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: Harries | Statement: [John Harries, familyName, Harries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harries
Context triple: [John Harries, familyName, Harries]
  • A. Harries chosen
    Harries is a surname and variant of Harris, borne by various notable individuals across fields such as sports, academia, and the arts.
  • B. Harron
    Harron is a surname most notably associated with early 20th-century American silent film actor Robert Harron.
  • C. Harrie
    Harrie is a given name, typically a variant spelling of Harry, used for both males and females in various countries.
  • D. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • E. Harrick
    Harrick is a surname most notably associated with Jim Harrick, an American college basketball coach who led UCLA to the 1995 NCAA championship.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637ac3fc8190911063b979c3afb8 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.