Triple

T5627284
Position Surface form Disambiguated ID Type / Status
Subject So Many Tears E147748 entity
Predicate recordLabel P1500 FINISHED
Object Jive Records E103287 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: Jive Records | Statement: [So Many Tears, recordLabel, Jive Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jive Records
Context triple: [So Many Tears, recordLabel, Jive Records]
  • A. Jive Records chosen
    Jive Records was a prominent American record label known for launching and promoting major pop and R&B artists, especially during the 1990s and early 2000s.
  • B. Maverick Records
    Maverick Records is an American record label co-founded by Madonna in the early 1990s, known for signing influential pop and alternative artists.
  • C. Jungle Records
    Jungle Records is an independent record label known for releasing punk and alternative rock music, including material by The Heartbreakers.
  • D. Rhythm & Groove Records
    Rhythm & Groove Records is a music label known for releasing work by acclaimed soul and jazz vocalist and pianist Oleta Adams.
  • E. Festival Records
    Festival Records was a prominent Australian record label known for signing and releasing music by major artists such as Olivia Newton-John.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02239500c8190ad3035e44c3b0670 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097d0234881908f6716979a2ade3a completed March 23, 2026, 1:30 a.m.
Created at: March 22, 2026, 3:40 p.m.