Triple

T13838336
Position Surface form Disambiguated ID Type / Status
Subject Roy Keane E332587 entity
Predicate playedFor P2170 FINISHED
Object Celtic E188084 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: Celtic | Statement: [Roy Keane, playedFor, Celtic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celtic
Context triple: [Roy Keane, playedFor, Celtic]
  • A. Celtic chosen
    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 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.
  • D. Gael
    Gael is the nickname and mascot figure representing Saint Mary's College of California’s athletic teams, especially its men's basketball program.
  • E. Gael
    Gael is a masculine given name of Celtic origin, commonly used in Spanish- and French-speaking countries and popularized internationally by figures such as actor Gael García Bernal.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f4318881909f6541f40ef87856 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.