Triple

T11546806
Position Surface form Disambiguated ID Type / Status
Subject Through the Fire and Flames E273794 entity
Predicate performer P1363 FINISHED
Object DragonForce E543454 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: DragonForce | Statement: [Through the Fire and Flames, performer, DragonForce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DragonForce
Context triple: [Through the Fire and Flames, performer, DragonForce]
  • A. DragonForce chosen
    DragonForce is a British power metal band renowned for its extremely fast guitar work and epic, video game–inspired sound.
  • B. Edguy
    Edguy is a German power metal band known for its melodic, fast-paced songs and humorous, theatrical style led by vocalist Tobias Sammet.
  • C. Blind Guardian
    Blind Guardian is a German power metal band renowned for its epic, fantasy-inspired lyrics and symphonic, highly melodic sound.
  • D. HammerFall
    HammerFall is a Swedish power metal band known for helping revive traditional heavy metal in the late 1990s with melodic, anthem-driven songs and fantasy-themed imagery.
  • E. Omnium Gatherum
    Omnium Gatherum is a satirical stage play co-written by Theresa Rebeck that critiques post-9/11 American culture and politics through a darkly comic dinner-party setting.
  • 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_69e685de2bf88190b1f59513fd47feeb completed April 20, 2026, 8 p.m.
Created at: April 8, 2026, 9:37 p.m.