Triple

T20071461
Position Surface form Disambiguated ID Type / Status
Subject Haydn E499748 entity
Predicate relatedTo P37 FINISHED
Object Hayden (name) 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: Hayden (name) | Statement: [Haydn, relatedTo, Hayden (name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayden (name)
Context triple: [Haydn, relatedTo, Hayden (name)]
  • 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. Hayden Hesterberg
    Hayden Hesterberg is a child of American actress and entrepreneur Liza Huber, known for her role on the soap opera "Passions" and as the daughter of actress Susan Lucci.
  • D. Hayden Nicholas
    Hayden Nicholas is an American country music songwriter and guitarist best known for his long-time collaboration with Clint Black.
  • E. Hayden Gwynne
    Hayden Gwynne was a British actress known for her versatile work in television, film, and theatre, including prominent roles in series such as "Drop the Dead Donkey" and "The Windsors."
  • 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_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
Created at: April 11, 2026, 3:40 p.m.