Triple

T2011818
Position Surface form Disambiguated ID Type / Status
Subject Sancho Panza E43702 entity
Predicate givenName P17 FINISHED
Object Sancho E43702 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: Sancho | Statement: [Sancho Panza, givenName, Sancho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sancho
Context triple: [Sancho Panza, givenName, Sancho]
  • A. Sancho
    Sancho is a neighborhood or district within the Brazilian coastal city of Recife.
  • B. Sancho Panza chosen
    Sancho Panza is the loyal, down-to-earth squire and comic foil to the idealistic knight-errant Don Quixote in Miguel de Cervantes' classic novel.
  • C. Alonso Quixano
    Alonso Quixano is the deluded Spanish nobleman who, after obsessively reading chivalric romances, transforms himself into the knight-errant Don Quixote in Miguel de Cervantes’ classic novel.
  • D. Sancio Cabot
    Sancio Cabot was a son of the Italian explorer John Cabot, likely associated with his father's late 15th-century voyages of discovery under the English flag.
  • E. Quichotte
    Quichotte is a 2019 novel by Salman Rushdie that reimagines Cervantes’ Don Quixote in contemporary America, blending satire, metafiction, and social commentary.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b150a8819096c919465fd91ab5 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2707c074819095f932a67f7b5fb9 completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:37 p.m.