Triple

T4521387
Position Surface form Disambiguated ID Type / Status
Subject Cry Me a River E103277 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: [Cry Me a River, recordLabel, Jive Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jive Records
Context triple: [Cry Me a River, 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. Festival Records
    Festival Records was a prominent Australian record label known for signing and releasing music by major artists such as Olivia Newton-John.
  • D. Streamline Records
    Streamline Records is a record label associated with major pop acts, notably helping launch the early career of American singer-songwriter Lady Gaga.
  • E. Tommy Boy Records
    Tommy Boy Records is an influential American hip hop and electronic music record label known for launching and nurturing groundbreaking artists and shaping 1980s–1990s urban music culture.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5749d95481908db0176459c096cf completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacd4a09881909cf0e9d665454e38 completed March 20, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:02 p.m.