Triple

T6507430
Position Surface form Disambiguated ID Type / Status
Subject Alonso E150045 entity
Predicate hasNotableBearer P458 FINISHED
Object Alonso Quijano E229638 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: Alonso Quijano | Statement: [Alonso, hasNotableBearer, Alonso Quijano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alonso Quijano
Context triple: [Alonso, hasNotableBearer, Alonso Quijano]
  • A. Alonso Quixano chosen
    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.
  • B. Sancho of Aragon
    Sancho of Aragon was an infante (prince) of the Crown of Aragon from the Trastámara dynasty, known primarily as a younger son of King Ferdinand I of Aragon.
  • C. Sancho of Castile
    Sancho of Castile was a medieval Castilian prince, son of Queen Eleanor of England and King Alfonso VIII of Castile, and a member of the royal House of Castile.
  • D. Quichotte
    Quichotte is a 2019 novel by Salman Rushdie that reimagines Cervantes’ Don Quixote in contemporary America, blending satire, metafiction, and social commentary.
  • E. Sancho
    Sancho is a neighborhood or district within the Brazilian coastal city of Recife.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c699693d94819088e8adff364e834a completed March 27, 2026, 2:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb519b8081908db92ab57ad6e871 completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:43 p.m.