Triple

T5633404
Position Surface form Disambiguated ID Type / Status
Subject Carlos Saura E147886 entity
Predicate spouse P13 FINISHED
Object Mercedes Pérez
Mercedes Pérez is known as the spouse of acclaimed Spanish film director Carlos Saura.
E552553 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: Mercedes Pérez | Statement: [Carlos Saura, spouse, Mercedes Pérez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercedes Pérez
Context triple: [Carlos Saura, spouse, Mercedes Pérez]
  • A. Mercedes Pascual
    Mercedes Pascual is a Mexican actress known for her work in film, television, and theater, and for her marriage to actor Claudio Brook.
  • B. Mercedes Delpino
    Mercedes Delpino was the wife of American actor and comedian Bert Lahr, best known for his role as the Cowardly Lion in "The Wizard of Oz."
  • C. Mercedes Martinez
    Mercedes Martinez is the wife of American filmmaker Chris Weitz, known primarily for her connection to his work in the film industry.
  • D. Mercedes Torres
    Mercedes Torres was the mother of Chilean politician and former president Manuel Montt.
  • E. Silvia Lemus
    Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
  • 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: Mercedes Pérez
Triple: [Carlos Saura, spouse, Mercedes Pérez]
Generated description
Mercedes Pérez is known as the spouse of acclaimed Spanish film director Carlos Saura.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mercedes Pérez
Target entity description: Mercedes Pérez is known as the spouse of acclaimed Spanish film director Carlos Saura.
  • A. Mercedes Pascual
    Mercedes Pascual is a Mexican actress known for her work in film, television, and theater, and for her marriage to actor Claudio Brook.
  • B. Mercedes Delpino
    Mercedes Delpino was the wife of American actor and comedian Bert Lahr, best known for his role as the Cowardly Lion in "The Wizard of Oz."
  • C. Mercedes Martinez
    Mercedes Martinez is the wife of American filmmaker Chris Weitz, known primarily for her connection to his work in the film industry.
  • D. Mercedes Torres
    Mercedes Torres was the mother of Chilean politician and former president Manuel Montt.
  • E. Silvia Lemus
    Silvia Lemus is a Mexican journalist and television host best known as the longtime wife and intellectual partner of celebrated writer Carlos Fuentes.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0225ff3248190b93c9f5887553fd4 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b099549881909e5f42c0e2363d59 completed March 23, 2026, 3:16 a.m.
NEDg Description generation batch_69c0b1c9ebdc819089752d150b584a6f completed March 23, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69c0b27981848190a5b7c618044241b0 completed March 23, 2026, 3:24 a.m.
Created at: March 22, 2026, 3:41 p.m.