Triple

T15054919
Position Surface form Disambiguated ID Type / Status
Subject Matador Records E379463 entity
Predicate notableArtist P601 FINISHED
Object Matmos E800020 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: Matmos | Statement: [Matador Records, notableArtist, Matmos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matmos
Context triple: [Matador Records, notableArtist, Matmos]
  • A. Matmos chosen
    Matmos is an experimental electronic music duo known for their innovative use of unconventional sound sources and conceptual compositions.
  • B. Mouse on Mars
    Mouse on Mars is an experimental German electronic music duo known for their innovative blend of IDM, techno, and avant-pop.
  • C. Madredeus
    Madredeus is a Portuguese music group renowned for its ethereal blend of fado, folk, and contemporary acoustic sounds, often highlighted by the haunting vocals of Teresa Salgueiro.
  • D. Alborosie
    Alborosie is an Italian-born reggae artist and producer known for his roots-influenced sound and prominent role in contemporary Jamaican reggae music.
  • E. Sunz of Man
    Sunz of Man is a Wu-Tang Clan-affiliated hip hop group known for its gritty, spiritual, and socially conscious lyricism.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda92091c81909180f486edf01405 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c11fb4819086c4b85a8d29ccf7 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 3:01 a.m.