Triple

T17976647
Position Surface form Disambiguated ID Type / Status
Subject Let the Groove Get In E449491 entity
Predicate recordLabel P1500 FINISHED
Object Tennman Records NE NERFINISHED

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: Tennman Records | Statement: [Let the Groove Get In, recordLabel, Tennman Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tennman Records
Context triple: [Let the Groove Get In, recordLabel, Tennman Records]
  • A. Tennman Records chosen
    Tennman Records is a record label founded by Justin Timberlake, known for releasing some of his music projects and working with various pop and R&B artists.
  • B. Takoma Records
    Takoma Records is an influential American independent record label best known for its pioneering role in American primitive guitar and folk music, originally founded by guitarist John Fahey.
  • C. Tayberry Records
    Tayberry Records is an independent music label associated with the North Hills music scene.
  • D. Shanachie Records
    Shanachie Records is an American independent record label known for releasing folk, world, jazz, and roots music.
  • E. Tenacity Records
    Tenacity Records is an independent American record label known for working with country music artists such as Mark Wills.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b20010c8819088c022565183a7ff completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.