Triple

T2011819
Position Surface form Disambiguated ID Type / Status
Subject Sancho Panza E43702 entity
Predicate familyName P18 FINISHED
Object Panza
Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
 E227384 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: Panza | Statement: [Sancho Panza, familyName, Panza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Panza
Context triple: [Sancho Panza, familyName, Panza]
  • A. Balbo
    Balbo is an Italian surname most famously associated with Italo Balbo, a prominent Fascist leader and pioneering aviator in early 20th-century Italy.
  • B. La Pera
    La Pera is a small municipality in Catalonia, Spain, best known for housing the Castle of Púbol, once owned by surrealist artist Salvador Dalí and his wife Gala.
  • C. Capiznon
    Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
  • D. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • E. Pacho
    Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • 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: Panza
Triple: [Sancho Panza, familyName, Panza]
Generated description
Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Panza
Target entity description: Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
  • A. Balbo
    Balbo is an Italian surname most famously associated with Italo Balbo, a prominent Fascist leader and pioneering aviator in early 20th-century Italy.
  • B. La Pera
    La Pera is a small municipality in Catalonia, Spain, best known for housing the Castle of Púbol, once owned by surrealist artist Salvador Dalí and his wife Gala.
  • C. Capiznon
    Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
  • D. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • E. Pacho
    Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • 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_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_69ae0ae85ed48190adc75fd17b17f6c9 completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b76f0fc8190bb5f40689ee7f8fe completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c586bd88190ae23e84291d2fe81 completed March 8, 2026, 11:55 p.m.
Created at: March 4, 2026, 7:37 p.m.