Triple

T11139110
Position Surface form Disambiguated ID Type / Status
Subject Coronation Concert E263491 entity
Predicate featuresPerformer P1363 FINISHED
Object Pete Tong E860661 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: Pete Tong | Statement: [Coronation Concert, featuresPerformer, Pete Tong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete Tong
Context triple: [Coronation Concert, featuresPerformer, Pete Tong]
  • A. Pete Tong chosen
    Pete Tong is a British DJ and radio presenter renowned for championing electronic dance music, particularly through his long-running BBC Radio 1 shows.
  • B. Nigel Dodds
    Nigel Dodds is a Northern Irish Democratic Unionist Party politician who served as Deputy Leader of the DUP and as Member of Parliament for Belfast North.
  • C. Martyn Atkins
    Martyn Atkins is a British graphic designer and art director known for creating album covers and visual identities for prominent rock and alternative musicians.
  • D. Dennis Hone
    Dennis Hone is a British public sector executive known for leading the Olympic Delivery Authority as its chief executive during the preparations for the London 2012 Olympic Games.
  • E. Nigel Cole
    Nigel Cole is a British film and television director known for character-driven comedies and dramas such as "Calendar Girls" and "Saving Grace."
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e860ca408190bea461e115f04fd7 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4420c17788190b72ca616fd5345f8 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.