Triple

T6500370
Position Surface form Disambiguated ID Type / Status
Subject Kiss E148866 entity
Predicate hasInfluenceOn P9 FINISHED
Object Metallica E128224 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: Metallica | Statement: [Kiss, hasInfluenceOn, Metallica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metallica
Context triple: [Kiss, hasInfluenceOn, Metallica]
  • A. Metallica chosen
    Metallica is a pioneering American heavy metal band, widely regarded as one of the most influential and commercially successful acts in the history of the genre.
  • B. Pantera
    Pantera is a pioneering American heavy metal band known for shaping the groove metal subgenre with their aggressive sound and powerful riffs.
  • C. Megadeth
    Megadeth is an American thrash metal band, founded by guitarist Dave Mustaine, known for its fast, technically complex music and influential role in shaping the genre.
  • D. Slayer
    Slayer is an influential American thrash metal band known for its aggressive sound, dark lyrical themes, and major impact on the development of extreme metal.
  • E. Queensrÿche
    Queensrÿche is an American progressive metal band known for its intricate compositions, conceptual albums, and influential role in shaping the genre since the 1980s.
  • 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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c68ad2e148819088be5c48ad73dc59 completed March 27, 2026, 1:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb26d2d08190a52084c3a8c0d8f8 completed March 27, 2026, 6:23 p.m.
Created at: March 27, 2026, 1:42 p.m.