Triple

T11546815
Position Surface form Disambiguated ID Type / Status
Subject Through the Fire and Flames E273794 entity
Predicate recordLabel P1500 FINISHED
Object Noise Records E865185 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: Noise Records | Statement: [Through the Fire and Flames, recordLabel, Noise Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noise Records
Context triple: [Through the Fire and Flames, recordLabel, Noise Records]
  • A. Noise Records chosen
    Noise Records is a German heavy metal record label best known for signing influential bands like Helloween during the 1980s and 1990s.
  • B. Blue Chair Records
    Blue Chair Records is the country music label founded by Kenny Chesney to release his own recordings and related projects with greater creative control.
  • C. Monkeywrench Records
    Monkeywrench Records is the independent record label founded and used by the rock band Pearl Jam to release their music.
  • D. Monkeywrench Records
    Monkeywrench Records is an independent record label known for releasing music by experimental noise rock acts such as Lightning Bolt.
  • E. Nothing Records
    Nothing Records was an American record label founded by Trent Reznor that became known for releasing influential industrial and alternative music in the 1990s and early 2000s.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e3ad548190b2c88332f5d919bd completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e82153f48190ae64146d7f28b780 completed April 21, 2026, 2:59 a.m.
Created at: April 8, 2026, 9:37 p.m.