Triple

T10007277
Position Surface form Disambiguated ID Type / Status
Subject Shameika E198284 entity
Predicate recordLabel P1500 FINISHED
Object Clean Slate Records E848106 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: Clean Slate Records | Statement: [Shameika, recordLabel, Clean Slate Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clean Slate Records
Context triple: [Shameika, recordLabel, Clean Slate Records]
  • A. Clean Slate Records
    Clean Slate Records is the record label known for releasing the early work of acclaimed singer-songwriter Fiona Apple.
  • B. Clean Slate Records chosen
    Clean Slate Records is an independent music label known for releasing work by artists such as Shadowboxer.
  • C. Mooncrest Records
    Mooncrest Records is a British independent record label known for releasing rock and folk music, including material by the band Nazareth.
  • D. Chrysalis Records
    Chrysalis Records is a British record label known for signing influential rock, pop, and folk artists since the late 1960s.
  • E. Frenetic Records
    Frenetic Records is an independent music label known for releasing work by experimental and heavy rock bands such as The Fucking Champs.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd187fe481908556ea896c528ea4 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3697d5b008190b274a086172c7a7d completed April 6, 2026, 8:06 a.m.
Created at: March 30, 2026, 8:52 p.m.