Triple

T14043311
Position Surface form Disambiguated ID Type / Status
Subject Scars on Broadway E337897 entity
Predicate associatedAct P37 FINISHED
Object In Flames E435605 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: In Flames | Statement: [Scars on Broadway, associatedAct, In Flames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In Flames
Context triple: [Scars on Broadway, associatedAct, In Flames]
  • A. In Flames chosen
    In Flames is a pioneering Swedish metal band widely credited with shaping the Gothenburg melodic death metal sound and influencing modern metal worldwide.
  • B. Sonata Arctica
    Sonata Arctica is a Finnish power metal band known for its melodic, keyboard-driven sound and emotionally charged lyrics.
  • C. Jaska
    Jaska is a Finnish diminutive form of the male given name Jaakko, commonly used as a familiar or affectionate nickname.
  • D. Sea of Sorrow
    "Sea of Sorrow" is a dark, heavy grunge track by Alice in Chains, featured on their influential 1990 album *Facelift*.
  • E. Krallice
    Krallice is an American experimental black metal band known for its complex, highly technical compositions and involvement in the New York avant‑metal 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.