Triple

T12139016
Position Surface form Disambiguated ID Type / Status
Subject Shawn E289134 entity
Predicate hasVariant P455 FINISHED
Object Shon E889550 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: Shon | Statement: [Shawn, hasVariant, Shon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shon
Context triple: [Shawn, hasVariant, Shon]
  • A. Shon chosen
    Shon is a given name that functions as an alternative spelling of the more common name Shaun (or Sean).
  • B. Shinn
    Shinn is a surname most notably associated with Everett Shinn, an American realist painter and member of the Ashcan School.
  • C. Shan
    The Shan are a Tai ethnic group primarily inhabiting Myanmar's Shan State, known for their distinct language, Buddhist traditions, and historical Shan principalities.
  • D. Sharman
    Sharman is a surname most notably associated with Helen Sharman, the first British astronaut and the first Western European woman in space.
  • E. Ryen
    Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f690ae408190966bb4fe8feaa7d2 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.