Triple

T22406774
Position Surface form Disambiguated ID Type / Status
Subject Jason Kapono E553898 entity
Predicate fullName P16 FINISHED
Object Jason Alan Kapono NE NERFINISHED

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: Jason Alan Kapono | Statement: [Jason Kapono, fullName, Jason Alan Kapono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Alan Kapono
Context triple: [Jason Kapono, fullName, Jason Alan Kapono]
  • A. Jason Kapono chosen
    Jason Kapono is a former NBA sharpshooter best known for his elite three-point shooting and back-to-back NBA Three-Point Contest titles.
  • B. Kimo Williams
    Kimo Williams is an American composer, guitarist, and Vietnam War veteran best known for his work in classical and jazz music and for co-founding the Lt. Dan Band with actor Gary Sinise.
  • C. Mike Knoop
    Mike Knoop is an entrepreneur best known as a co-founder of Zapier, a popular automation platform that connects web applications.
  • D. Jamie Ryan Kiros
    Jamie Ryan Kiros is a machine learning researcher known for foundational contributions to deep learning architectures, including the development of layer normalization.
  • E. Nick Koenig
    Nick Koenig, better known by his stage name Hot Sugar, is an American producer and musician recognized for his experimental "associative music" made from unconventional, found sounds.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b835e88190a388e19577df771e completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.