Triple

T14553413
Position Surface form Disambiguated ID Type / Status
Subject Vital E341476 entity
Predicate producer P490 FINISHED
Object Aaron Sprinkle E1107127 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: Aaron Sprinkle | Statement: [Vital, producer, Aaron Sprinkle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Sprinkle
Context triple: [Vital, producer, Aaron Sprinkle]
  • A. Aaron Sprinkle chosen
    Aaron Sprinkle is an American musician, songwriter, and record producer best known for his work in the Christian rock and alternative music scenes.
  • B. Spence Olchin
    Spence Olchin is a socially awkward, nerdy friend character from the sitcom "The King of Queens," known for his quirky personality and close ties to the main couple.
  • C. Chris Sparling
    Chris Sparling is an American screenwriter and filmmaker best known for writing the claustrophobic thriller "Buried" and other high-concept genre films.
  • D. Spencer Nilsen
    Spencer Nilsen is an American video game music composer best known for creating the North American soundtrack for Sonic CD and other Sega titles in the 1990s.
  • E. Justin Spitz
    Justin Spitz is known as one of the children of legendary American Olympic swimmer Mark Spitz.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f00cec8190a7b6482d18b9a216 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16666b8819090fb33c71515ab0a completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:23 a.m.