Triple

T18001399
Position Surface form Disambiguated ID Type / Status
Subject Hayden E430635 entity
Predicate hasName P744 FINISHED
Object Hayden 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 | Statement: [Hayden, hasName, Hayden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayden
Context triple: [Hayden, hasName, Hayden]
  • A. Hayden
    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. Bryden
    Bryden is a small rural locality in the Somerset Region of Queensland, Australia, known for its agricultural landscape and quiet countryside character.
  • 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. chosen

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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e82ca48190aeb53e03c95ef223 completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.