Triple

T22263431
Position Surface form Disambiguated ID Type / Status
Subject Reg Empey E550287 entity
Predicate familyName P18 FINISHED
Object Empey 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: Empey | Statement: [Reg Empey, familyName, Empey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empey
Context triple: [Reg Empey, familyName, Empey]
  • A. Empey chosen
    Empey is a surname most notably associated with Reg Empey, a Northern Irish politician and former leader of the Ulster Unionist Party.
  • B. Empalot
    Empalot is a residential neighborhood in Toulouse, France, known for its large social housing complexes and proximity to the Garonne River.
  • C. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • D. Saca
    Saca is a Spanish-language surname most notably associated with former Salvadoran president Antonio Saca.
  • E. Paguemen
    Paguemen is an alternative transliteration of the name Pagumen, which refers to the thirteenth month in the Ethiopian calendar.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141b94a688190b17c55477993a745 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.