Triple

T16673302
Position Surface form Disambiguated ID Type / Status
Subject Only Crime E405156 entity
Predicate associatedBand P6597 FINISHED
Object Converge E893783 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: Converge | Statement: [Only Crime, associatedBand, Converge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Converge
Context triple: [Only Crime, associatedBand, Converge]
  • A. Converge chosen
    Converge is an influential American metalcore band known for its chaotic, genre-defining blend of hardcore punk, metal, and experimental music.
  • B. Between the Buried and Me
    Between the Buried and Me is an American progressive metal band known for its complex song structures, genre-blending compositions, and conceptually ambitious albums.
  • C. The Dillinger Escape Plan
    The Dillinger Escape Plan was an American mathcore band renowned for its complex, chaotic compositions and intense live performances.
  • D. Protomartyr
    Protomartyr is the title traditionally given to Saint Stephen as the first Christian martyr.
  • E. Redd Kross
    Redd Kross is an American alternative rock band known for its blend of punk, power pop, and glam influences, active since the late 1970s Los Angeles underground scene.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ca276848190b7562d7cb88d21e0 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3916508190bd5edd91310ddb5a completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.