Triple

T20738698
Position Surface form Disambiguated ID Type / Status
Subject Josh Sitton E509780 entity
Predicate familyName P18 FINISHED
Object Sitton 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: Sitton | Statement: [Josh Sitton, familyName, Sitton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sitton
Context triple: [Josh Sitton, familyName, Sitton]
  • A. Sitton chosen
    Sitton is a surname of English origin borne by various notable individuals, including athletes and public figures.
  • B. Silla
    Silla was an ancient Korean kingdom that unified most of the Korean Peninsula in the 7th century and played a central role in the development of early Korean culture, Buddhism, and statehood.
  • C. Sitte
    Sitte is a German-language surname most notably associated with Austrian architect and urban theorist Camillo Sitte.
  • D. Duduk
    The duduk is a traditional Armenian double-reed woodwind instrument known for its warm, melancholic tone and prominent role in Armenian folk and classical music.
  • E. Sit
    Sit is one of the islands within Croatia’s Kornati National Park, a protected Adriatic archipelago known for its rugged karst landscapes and clear sea.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20c36708190898b889b6989fc7d completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:32 p.m.