Triple

T7293192
Position Surface form Disambiguated ID Type / Status
Subject Downtown Records E164448 entity
Predicate hasArtist P5936 FINISHED
Object Nick Murphy E605564 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: Nick Murphy | Statement: [Downtown Records, hasArtist, Nick Murphy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Murphy
Context triple: [Downtown Records, hasArtist, Nick Murphy]
  • A. Nick Murphy chosen
    Nick Murphy is an Australian singer, songwriter, and producer best known for his soulful electronic music, formerly released under the stage name Chet Faker.
  • B. Matthew Shear
    Matthew Shear is an American actor best known for his supporting roles in independent films and television series, including his notable appearance in Noah Baumbach’s comedy "Mistress America."
  • C. Matthew Sharp
    Matthew Sharp is a British musician and performer known for his work as a cellist, baritone, and actor across classical, opera, and contemporary music.
  • D. Joseph Arthur
    Joseph Arthur is an American singer-songwriter and artist known for his introspective lyrics, experimental sound, and critically acclaimed albums such as "Come to Where I'm From."
  • E. Adam Kolbrenner
    Adam Kolbrenner is a film producer best known for his work on acclaimed thrillers such as "Prisoners."
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8a0b4881908ff27c5a75bd4a95 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e53faa0481909758a7366cbbe99f completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.