Triple

T14043319
Position Surface form Disambiguated ID Type / Status
Subject Scars on Broadway E337897 entity
Predicate associatedAct P37 FINISHED
Object Trivium E845877 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: Trivium | Statement: [Scars on Broadway, associatedAct, Trivium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trivium
Context triple: [Scars on Broadway, associatedAct, Trivium]
  • A. Trivium
    Trivium is an American heavy metal band known for blending metalcore and thrash influences with melodic elements and technical guitar work.
  • B. Trivium chosen
    Trivium is a lightweight synchronous stream cipher designed for efficient hardware implementation and widely studied in modern cryptography.
  • C. Edguy
    Edguy is a German power metal band known for its melodic, fast-paced songs and humorous, theatrical style led by vocalist Tobias Sammet.
  • D. Saosin
    Saosin is an American post-hardcore band known for its melodic yet aggressive sound and influential presence in the 2000s alternative rock scene.
  • E. Alexisonfire
    Alexisonfire is a Canadian post-hardcore band known for its intense dual-vocal style and influential role in the 2000s alternative music 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312b94308190bd0961f5bc719c7b completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33f79a88190999978d7f34632cd completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.