Triple

T4128540
Position Surface form Disambiguated ID Type / Status
Subject Kelly Chan E92784 entity
Predicate notableWork P4 FINISHED
Object Love Parade E349684 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: Love Parade | Statement: [Kelly Chan, notableWork, Love Parade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Parade
Context triple: [Kelly Chan, notableWork, Love Parade]
  • A. Love Parade chosen
    Love Parade was a famous electronic dance music festival and street parade that originated in Berlin, Germany, and became one of the world’s largest techno events.
  • B. Electric Daisy Carnival
    Electric Daisy Carnival is a massive annual electronic dance music festival known for its elaborate stages, carnival attractions, and immersive audiovisual production.
  • C. EXIT Festival
    EXIT Festival is a major annual summer music festival held at the Petrovaradin Fortress in Novi Sad, Serbia, renowned for its diverse international lineup and vibrant youth culture.
  • D. Polyfest
    Polyfest is a major annual secondary schools cultural festival in Auckland, New Zealand, celebrating Pacific Island and Māori performing arts and heritage.
  • E. Lollapalooza
    Lollapalooza is a major annual music festival featuring diverse genres and large-scale performances, held in Chicago.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af021c5ca48190a829bab07dda55d0 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576bc48f0819081ac3f921736854f completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:42 p.m.