Triple

T21302399
Position Surface form Disambiguated ID Type / Status
Subject Beth Pearson E525101 entity
Predicate hasRelative P367 FINISHED
Object Kevin Pearson 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: Kevin Pearson | Statement: [Beth Pearson, hasRelative, Kevin Pearson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Pearson
Context triple: [Beth Pearson, hasRelative, Kevin Pearson]
  • A. Kevin Pearson chosen
    Kevin Pearson is a central character in the television drama "This Is Us," known as one of the Pearson triplets whose struggles with identity, family, and fame are a core focus of the series.
  • B. Chris Pearson
    Chris Pearson was a Canadian politician who became the first government leader of Yukon after the territory gained responsible government in the late 1970s.
  • C. Brian Pearson
    Brian Pearson is a Canadian cinematographer known for his work on genre films, including the 3D horror sequel "My Bloody Valentine 3D."
  • D. Eric Pearson
    Eric Pearson is an American screenwriter best known for his work on Marvel Cinematic Universe films, including writing the screenplay for "Thor: Ragnarok."
  • E. Kevin Hancock
    Kevin Hancock is the brother of American filmmaker John Lee Hancock, known for his work as a director and screenwriter.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.