Triple

T13068575
Position Surface form Disambiguated ID Type / Status
Subject Nikki Haley E329393 entity
Predicate familyName P18 FINISHED
Object Haley E247478 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: Haley | Statement: [Nikki Haley, familyName, Haley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haley
Context triple: [Nikki Haley, familyName, Haley]
  • A. Haley chosen
    Haley is a surname most notably associated with American actor Jack Haley, who played the Tin Man in the classic film "The Wizard of Oz."
  • B. Hailey
    Hailey is a parish in Hertfordshire, England, associated with the town of Haileybury.
  • C. Hailey
    Hailey is a small rural village located within the district of West Oxfordshire in England.
  • D. Hailey
    Hailey is a small city in south-central Idaho known as a gateway to the Sun Valley resort area and the surrounding Sawtooth National Forest.
  • E. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ec8ba48190baf52c7823482680 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d603419c8190b8d1726365db59dc completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.