Triple

T13996811
Position Surface form Disambiguated ID Type / Status
Subject Harry Hayden E336718 entity
Predicate familyName P18 FINISHED
Object Hayden E116930 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: Hayden | Statement: [Harry Hayden, familyName, Hayden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayden
Context triple: [Harry Hayden, familyName, Hayden]
  • A. Hayden chosen
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • B. Hayden
    Hayden is a small city in northern Idaho, known for its proximity to Hayden Lake and its role as part of the Coeur d'Alene metropolitan area.
  • C. Ayden
    Ayden is a modern given name, typically used for boys, that is a spelling variant of the name Aidan.
  • D. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • E. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9d4a54819091c7efbeb4dcc5f7 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.