Triple

T17099144
Position Surface form Disambiguated ID Type / Status
Subject Kieran McKenna E414933 entity
Predicate youthClub P1088 FINISHED
Object Tottenham Hotspur E19088 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: Tottenham Hotspur | Statement: [Kieran McKenna, youthClub, Tottenham Hotspur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tottenham Hotspur
Context triple: [Kieran McKenna, youthClub, Tottenham Hotspur]
  • A. Tottenham Hotspur F.C. chosen
    Tottenham Hotspur F.C. is a professional English football club based in North London that competes in the Premier League and is known for its attacking style and strong fan base.
  • B. Tottenham
    Tottenham is a district in North London, England, known for its diverse community, urban character, and association with the football club Tottenham Hotspur.
  • C. Tottenham
    Tottenham is a small community in Ontario, Canada, known for its rural character and role as one of the primary population centres within the Town of New Tecumseth.
  • D. Tottenham
    Tottenham is a small rural town in central western New South Wales, Australia, known for its agricultural community and its proximity to the geographic centre of the state.
  • E. Arsenal
    "Arsenal" is a 1929 Soviet silent film directed by Oleksandr Dovzhenko, renowned as a key work of the Soviet montage movement depicting the turmoil of the Ukrainian–Soviet War.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc00880481909cc0dbc169663a41 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0141422d6c819086dc98988c0851d9 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:35 a.m.