Triple

T17512666
Position Surface form Disambiguated ID Type / Status
Subject Aníron E426487 entity
Predicate genre P14 FINISHED
Object Celtic 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: Celtic | Statement: [Aníron, genre, Celtic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celtic
Context triple: [Aníron, genre, Celtic]
  • A. Celtic
    Celtic is a professional football club based in Glasgow, Scotland, renowned for its passionate fanbase and historic success in Scottish and European competitions.
  • B. Celtic
    Celtic is the nickname of Stalybridge Celtic F.C., an English football club known for its long history in non-league football.
  • C. Celtic
    Celtic was a British ocean liner of the White Star Line, notable in the early 20th century as one of the largest passenger ships in the world.
  • D. Celtic chosen
    Celtic refers to the ancient Indo-European peoples and their related languages, art, and traditions that spread across much of Europe, particularly in regions such as the British Isles, Gaul, and the Iberian Peninsula.
  • E. Gael
    Gael is the nickname and mascot figure representing Saint Mary's College of California’s athletic teams, especially its men's basketball program.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525d29fc819080851bf744bc78ed completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.