Triple

T16633429
Position Surface form Disambiguated ID Type / Status
Subject Bob Mathias E404134 entity
Predicate hasChild P369 FINISHED
Object Megan Mathias E404134 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: Megan Mathias | Statement: [Bob Mathias, hasChild, Megan Mathias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Megan Mathias
Context triple: [Bob Mathias, hasChild, Megan Mathias]
  • A. Megan Mathias chosen
    Megan Mathias is known primarily as one of the children of American Olympic decathlon champion and politician Bob Mathias.
  • B. Katie Smith
    Katie Smith is a Hall of Fame American basketball player and three-time WNBA champion renowned as one of the league’s greatest scorers and most versatile guards.
  • C. Kayla McBride
    Kayla McBride is an American professional basketball player and former Notre Dame standout known for her scoring ability and success in the WNBA and overseas.
  • D. Kayla Pospisil
    Kayla Pospisil is a fictional Fox News employee portrayed by Margot Robbie in the 2019 film "Bombshell," representing a composite character who experiences and exposes workplace sexual harassment.
  • E. Megan Stott
    Megan Stott is an American actress best known for her role as Izzy Richardson in the television miniseries "Little Fires Everywhere."
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e7d4a48190a9b4a14ecbb2a14b completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b984d081909f76ef874431ff40 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.