Triple

T16171449
Position Surface form Disambiguated ID Type / Status
Subject P. R. Brown E392445 entity
Predicate hasWorkedWith P9615 FINISHED
Object Pantera E416628 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: Pantera | Statement: [P. R. Brown, hasWorkedWith, Pantera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pantera
Context triple: [P. R. Brown, hasWorkedWith, Pantera]
  • A. Pantera chosen
    Pantera is a pioneering American heavy metal band known for shaping the groove metal subgenre with their aggressive sound and powerful riffs.
  • B. Machine Head
    Machine Head is an American heavy metal band from Oakland, California, known for its aggressive groove/thrash sound and influential albums like "Burn My Eyes."
  • C. Machine Head
    Machine Head is a 1972 hard rock album by Deep Purple, widely regarded as one of their definitive works and a classic of the genre.
  • D. 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.
  • E. La Pantera
    La Pantera is the nickname of Argentine professional footballer Gustavo Bou, a powerful forward known for his goal-scoring ability and physical style of play.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb7ab1481908fc35bfc8c56e5f2 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bd87f08190a9f2a1524e5db2ba completed May 10, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:02 a.m.