Triple

T20080498
Position Surface form Disambiguated ID Type / Status
Subject Física o química E499986 entity
Predicate mainCharacter P1183 FINISHED
Object Olimpia Díaz
Olimpia Díaz is a fictional character from the Spanish teen drama television series "Física o química."
E1410125 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: Olimpia Díaz | Statement: [Física o química, mainCharacter, Olimpia Díaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olimpia Díaz
Context triple: [Física o química, mainCharacter, Olimpia Díaz]
  • A. Ana Cano
    Ana Cano is a notable individual recognized for achievements significant enough to be associated with the surname Cano.
  • B. Apolonia Gutierrez
    Apolonia Gutierrez was the wife of famed American Old West lawman and gunfighter Pat Garrett.
  • C. Delfina Suárez
    Delfina Suárez is the daughter of Uruguayan footballer Luis Suárez, occasionally appearing in media and public events alongside her father.
  • D. Delfina Ortega Díaz
    Delfina Ortega Díaz was the first wife of Mexican president and long-time ruler Porfirio Díaz and served as Mexico’s First Lady during the early years of his regime.
  • E. Maria Cerezo
    Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
  • 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: Olimpia Díaz
Triple: [Física o química, mainCharacter, Olimpia Díaz]
Generated description
Olimpia Díaz is a fictional character from the Spanish teen drama television series "Física o química."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Olimpia Díaz
Target entity description: Olimpia Díaz is a fictional character from the Spanish teen drama television series "Física o química."
  • A. Ana Cano
    Ana Cano is a notable individual recognized for achievements significant enough to be associated with the surname Cano.
  • B. Apolonia Gutierrez
    Apolonia Gutierrez was the wife of famed American Old West lawman and gunfighter Pat Garrett.
  • C. Delfina Suárez
    Delfina Suárez is the daughter of Uruguayan footballer Luis Suárez, occasionally appearing in media and public events alongside her father.
  • D. Delfina Ortega Díaz
    Delfina Ortega Díaz was the first wife of Mexican president and long-time ruler Porfirio Díaz and served as Mexico’s First Lady during the early years of his regime.
  • E. Maria Cerezo
    Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66557c19c8190b511857490bbd423 completed April 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f4590748190864820afe557d4cd completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a08208118c0819093dee2c851c9999f completed May 16, 2026, 7:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0821637b008190a410ca9f89fecf8f completed May 16, 2026, 7:48 a.m.
Created at: April 11, 2026, 3:41 p.m.