Triple

T9579503
Position Surface form Disambiguated ID Type / Status
Subject Take a Bow E231132 entity
Predicate recordLabel P1500 FINISHED
Object Maverick Records E351206 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: Maverick Records | Statement: [Take a Bow, recordLabel, Maverick Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maverick Records
Context triple: [Take a Bow, recordLabel, Maverick Records]
  • A. Maverick Records chosen
    Maverick Records is an American record label co-founded by Madonna in the early 1990s, known for signing influential pop and alternative artists.
  • B. 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.
  • C. Checker Records
    Checker Records was a prominent American blues and R&B record label, affiliated with Chess Records, that released influential recordings by artists such as Sonny Boy Williamson II and Bo Diddley.
  • D. Brando Records
    Brando Records is an independent music label known for working with alternative rock acts such as Blue October.
  • E. Daybreak Records
    Daybreak Records is a music label known for releasing recordings by American singer and bandleader Frank Sinatra Jr.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ca96a48190a6fbe88387be6883 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1790fbfb88190b1d12f5ed3d4ef7e completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:05 p.m.