Triple

T10300849
Position Surface form Disambiguated ID Type / Status
Subject Rosie Thomas E241621 entity
Predicate recordLabel P1500 FINISHED
Object Sub Pop E136013 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: Sub Pop | Statement: [Rosie Thomas, recordLabel, Sub Pop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sub Pop
Context triple: [Rosie Thomas, recordLabel, Sub Pop]
  • A. Sub Pop chosen
    Sub Pop is a Seattle-based independent record label best known for popularizing the grunge movement by signing influential bands like Nirvana and Soundgarden.
  • B. Echo Pop
    Echo Pop is a compact, entry-level smart speaker in Amazon’s Echo lineup, featuring Alexa voice control in a small, colorful form factor.
  • C. PoP!
    PoP! is the fictional 1980s pop duo fronted by Hugh Grant’s character in the romantic comedy film "Music and Lyrics."
  • D. Pulp
    Pulp is an open source content management and distribution platform that lets users organize, publish, and manage software packages and repositories at scale.
  • E. Pulp
    Pulp is an English alternative rock band, fronted by Jarvis Cocker, best known for their witty, socially observant Britpop anthems of the 1990s such as "Common People" and "Disco 2000."
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2eefe8881908a672c4dca7657ca completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d47049c81909b60058c36042f71 completed April 9, 2026, 3:30 a.m.
Created at: April 6, 2026, 11:44 a.m.