Triple

T9766539
Position Surface form Disambiguated ID Type / Status
Subject John Buckman E237007 entity
Predicate founded P104 FINISHED
Object Magnatune E819310 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: Magnatune | Statement: [John Buckman, founded, Magnatune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magnatune
Context triple: [John Buckman, founded, Magnatune]
  • A. Magnatune chosen
    Magnatune is an independent, online record label known for its artist-friendly licensing model and slogan "We are not evil."
  • B. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • C. Music Concourse
    Music Concourse is a historic open-air plaza and performance space in San Francisco’s Golden Gate Park, known for its band shell, fountains, and surrounding cultural institutions.
  • D. Odeo
    Odeo was an early podcasting startup co-founded by the team behind Obvious Corporation that played a key role in the creation of Twitter.
  • E. Machete Music
    Machete Music is a prominent Latin urban music label known for representing leading reggaeton and Latin hip-hop artists.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c412f0a48190b59d030b703a0e45 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:25 p.m.