Triple

T17166654
Position Surface form Disambiguated ID Type / Status
Subject Norma Jean E416627 entity
Predicate recordLabel P1500 FINISHED
Object Razor & Tie E1064471 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: Razor & Tie | Statement: [Norma Jean, recordLabel, Razor & Tie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Razor & Tie
Context triple: [Norma Jean, 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 (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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f915622c8190a6dff0baf0288a62 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483d754c819089607cfc87d08d42 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.