Triple

T9427201
Position Surface form Disambiguated ID Type / Status
Subject Bad Blood E227286 entity
Predicate label P38 FINISHED
Object Big Machine Records E227291 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: Big Machine Records | Statement: [Bad Blood, label, Big Machine Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big Machine Records
Context triple: [Bad Blood, label, Big Machine Records]
  • A. Big Machine Records chosen
    Big Machine Records is an American independent record label best known for launching and shaping the early career of country and pop superstar Taylor Swift.
  • B. Mercury Nashville
    Mercury Nashville is a prominent American country music record label known for signing and promoting major country artists.
  • C. Capitol Nashville
    Capitol Nashville is a prominent country music record label based in Nashville, Tennessee, known for signing major contemporary country artists.
  • D. Big Loud Records
    Big Loud Records is a Nashville-based country music record label known for signing contemporary country artists and producing mainstream hits.
  • E. Republic Records
    Republic Records is a major American record label known for representing a wide range of prominent artists across pop, rock, hip-hop, and other genres.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c91ba1c8190b8331fb1ba58cc61 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18208ba9081909efa44f98f90c11a completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:49 p.m.