Triple

T14724835
Position Surface form Disambiguated ID Type / Status
Subject Sanctuary Records E345910 entity
Predicate hasImprint P2763 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: [Sanctuary Records, hasImprint, Noise Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noise Records
Context triple: [Sanctuary Records, hasImprint, 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09791e081908a1262717fd31445 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.