Triple

T17757765
Position Surface form Disambiguated ID Type / Status
Subject Kevin Kiner E443288 entity
Predicate child P120 FINISHED
Object Sean Kiner 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: Sean Kiner | Statement: [Kevin Kiner, child, Sean Kiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Kiner
Context triple: [Kevin Kiner, child, Sean Kiner]
  • A. Sean Kiner chosen
    Sean Kiner is the child of American composer Kevin Kiner, known for his work on numerous film and television scores.
  • B. Eric Conner
    Eric Conner is a prominent Ethereum researcher and community member known for his key role in proposing and advocating the EIP-1559 fee market upgrade.
  • C. Sean Kenney
    Sean Kenney is an American actor best known for playing the disfigured Captain Christopher Pike in the original Star Trek series.
  • D. Gary Winick
    Gary Winick was an American film director and producer known for character-driven romantic comedies and dramas such as "13 Going on 30" and "Charlotte's Web."
  • E. Colin Kroll
    Colin Kroll was an American technology entrepreneur best known as the co-founder of the short-form video platform Vine and the mobile trivia game HQ Trivia.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841fe97881908f4df503fb781763 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.