Triple

T20057258
Position Surface form Disambiguated ID Type / Status
Subject Vanessa Carlton E499370 entity
Predicate recordLabel P1500 FINISHED
Object Razor & Tie 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: Razor & Tie | Statement: [Vanessa Carlton, recordLabel, Razor & Tie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Razor & Tie
Context triple: [Vanessa Carlton, recordLabel, Razor & Tie]
  • A. Razor & Tie chosen
    Razor & Tie was an American independent record label and entertainment company known for its diverse roster of rock, pop, and children's music artists and compilation albums.
  • B. Disruptor Records
    Disruptor Records is a music label known for signing and promoting popular electronic and pop acts, including The Chainsmokers.
  • C. Rostrum Records
    Rostrum Records is an independent American record label best known for launching the careers of artists like Wiz Khalifa and Mac Miller.
  • D. Manticore Records
    Manticore Records was a 1970s record label founded by members of Emerson, Lake & Palmer that released progressive rock and related artists, including Greg Lake’s work.
  • E. Razor Sharp Records
    Razor Sharp Records is a music label associated with the rapper and producer Ironman.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637325908190aefc0e27e2ed5750 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.