Triple

T17187177
Position Surface form Disambiguated ID Type / Status
Subject Relapse Records E417138 entity
Predicate signedArtist P16560 FINISHED
Object My Dying Bride E897706 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: My Dying Bride | Statement: [Relapse Records, signedArtist, My Dying Bride]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Dying Bride
Context triple: [Relapse Records, signedArtist, My Dying Bride]
  • A. My Dying Bride chosen
    My Dying Bride is a British doom metal band known for its melancholic, atmospheric sound and influential role in the development of the genre since the early 1990s.
  • B. Godflesh
    Godflesh is an influential English industrial metal band known for pioneering a harsh, mechanical fusion of metal, industrial, and experimental music.
  • C. Cradle of Filth
    Cradle of Filth is an English extreme metal band known for its dark, theatrical style that blends black metal with gothic and symphonic elements.
  • D. 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.
  • E. Amenra
    Amenra is a Belgian post-metal band known for its intensely atmospheric, ritualistic sound and emotionally heavy live performances.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d96fc588190ad2177d8bb346373 completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fce16688190976d3760898ca5d8 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.