Triple

T342308
Position Surface form Disambiguated ID Type / Status
Subject Don Quixote (Balanchine) E6860 entity
Predicate hasCharacter P2308 FINISHED
Object Sancho Panza
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.
 E43702 NE FINISHED

How this triple was built (4 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 Panza | Statement: [Don Quixote (Balanchine), hasCharacter, Sancho Panza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sancho Panza
Context triple: [Don Quixote (Balanchine), hasCharacter, Sancho Panza]
  • A. Quichotte
    Quichotte is a 2019 novel by Salman Rushdie that reimagines Cervantes’ Don Quixote in contemporary America, blending satire, metafiction, and social commentary.
  • B. Pedro
    Pedro is the Spanish and Portuguese given name equivalent to the English name Peter and the French name Pierre.
  • C. Don Juan
    Don Juan is a long satirical narrative poem by Lord Byron that humorously reimagines the legendary libertine as a naïve young man swept through a series of romantic and political adventures.
  • D. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • E. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sancho Panza
Triple: [Don Quixote (Balanchine), hasCharacter, Sancho Panza]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sancho Panza
Target entity description: 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.
  • A. Quichotte
    Quichotte is a 2019 novel by Salman Rushdie that reimagines Cervantes’ Don Quixote in contemporary America, blending satire, metafiction, and social commentary.
  • B. Pedro
    Pedro is the Spanish and Portuguese given name equivalent to the English name Peter and the French name Pierre.
  • C. Don Juan
    Don Juan is a long satirical narrative poem by Lord Byron that humorously reimagines the legendary libertine as a naïve young man swept through a series of romantic and political adventures.
  • D. Guillermo
    Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
  • E. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • F. None of above. chosen

Provenance (5 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eafef8c88190a5932eb2c6ac4a5d completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d4e883ac81909f2acb66b7bfa540 completed March 1, 2026, 5:55 a.m.
NEDg Description generation batch_69a3d56bead08190aefe0a5c6fef843e completed March 1, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69a3d62b40148190819686eda8669d6d completed March 1, 2026, 6:01 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.