Triple

T10199843
Position Surface form Disambiguated ID Type / Status
Subject Belvedere College E238853 entity
Predicate notableAlumnus P304 FINISHED
Object Niall Quinn E308019 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: Niall Quinn | Statement: [Belvedere College, notableAlumnus, Niall Quinn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niall Quinn
Context triple: [Belvedere College, notableAlumnus, Niall Quinn]
  • A. Niall Quinn chosen
    Niall Quinn is a former Irish professional footballer and businessman best known for his time as a striker with Arsenal, Manchester City, and Sunderland, and for later serving as chairman of Sunderland AFC.
  • B. Niall Cunningham
    Niall Cunningham is an American actor best known for his role as Tyler Hughes on the CBS sitcom "Life in Pieces."
  • C. Niall O’Brien
    Niall O’Brien is an actor known for his role in the film "The Legend of 1900."
  • D. Niall Johnson
    Niall Johnson is a British film director and screenwriter known for his work on character-driven dramas and comedies.
  • E. Niall Harrison
    Niall Harrison is a British science fiction critic and editor known for his work on genre magazines and fanzines, including the Hugo-winning fanzine Journey Planet.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee3f3bac8190a63a81edffe7cda7 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e27c2dc8190a5b3173fbcb01114 completed April 10, 2026, 4:35 a.m.
Created at: March 30, 2026, 9:14 p.m.