Triple

T15122046
Position Surface form Disambiguated ID Type / Status
Subject Believe E361193 entity
Predicate producer P490 FINISHED
Object Scooter Braun E361200 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: Scooter Braun | Statement: [Believe, producer, Scooter Braun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scooter Braun
Context triple: [Believe, producer, Scooter Braun]
  • A. Scooter Braun chosen
    Scooter Braun is an American talent manager and music executive best known for discovering and managing major pop artists including Justin Bieber.
  • B. Ken Stovitz
    Ken Stovitz is an American entertainment executive and film producer best known for co-founding Overbrook Entertainment alongside Will Smith and others.
  • C. L.A. Reid
    L.A. Reid is an American record executive, producer, and co-founder of LaFace Records, known for shaping the careers of numerous major R&B and pop artists.
  • D. Ben Silverman
    Ben Silverman is an American media executive and television producer known for developing and producing numerous hit series across major networks and streaming platforms.
  • E. Justin Levine
    Justin Levine is a composer, music director, and orchestrator best known for his work on the Broadway adaptation of Moulin Rouge! The Musical.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059f69a881909929a037a0eef702 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed321d6108190a30b32f176e6d4dc completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:06 a.m.