Triple

T4161789
Position Surface form Disambiguated ID Type / Status
Subject Helmet E91547 entity
Predicate hasInfluenced P9 FINISHED
Object Deftones E325304 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: Deftones | Statement: [Helmet, hasInfluenced, Deftones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deftones
Context triple: [Helmet, hasInfluenced, Deftones]
  • A. Deftones chosen
    Deftones is an American alternative metal band from Sacramento, California, known for blending heavy riffs with atmospheric and experimental soundscapes.
  • B. Devo
    Devo is an American new wave band known for its quirky, satirical style and pioneering use of synthesizers in late 1970s and 1980s rock music.
  • C. Papa Roach
    Papa Roach is an American rock band best known for their early 2000s nu metal and alternative rock hits like "Last Resort."
  • D. Slipknot
    Slipknot is an American heavy metal band known for its aggressive sound, chaotic live performances, and distinctive masked image.
  • E. System of a Down
    System of a Down is an Armenian-American heavy metal band known for its politically charged lyrics, unconventional song structures, and influential albums like "Toxicity."
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02a6b5f48190bdabf988d23f6e97 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f456bf88190b9b8678476ac3803 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:44 p.m.