Triple

T4698125
Position Surface form Disambiguated ID Type / Status
Subject Daniel Levy E104198 entity
Predicate associatedWith P37 FINISHED
Object White Hart Lane E110302 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: White Hart Lane | Statement: [Daniel Levy, associatedWith, White Hart Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Hart Lane
Context triple: [Daniel Levy, associatedWith, White Hart Lane]
  • A. White Hart Lane chosen
    White Hart Lane was a historic football stadium in North London that long served as the iconic home ground of Tottenham Hotspur.
  • B. London Road Stadium
    London Road Stadium is a football stadium in Peterborough, England, best known as the long-time home of Peterborough United F.C.
  • C. Abbey Stadium
    Abbey Stadium is a football ground in Cambridge, England, best known as the long-time home of Cambridge United F.C.
  • D. Maine Road
    Maine Road was a historic football stadium in Manchester, England, best known as the long-time home of Manchester City Football Club before their move to the City of Manchester Stadium.
  • E. Vodafone Park
    Vodafone Park is a modern, all-seater football stadium in Istanbul, Turkey, known for hosting Beşiktaş JK matches and major sporting and entertainment events.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63b57e1c8190962d97e4805974ed completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39dd7d9c8190912044c8616cf8a0 completed March 21, 2026, 6:25 a.m.
Created at: March 20, 2026, 1:17 p.m.