Triple

T13700792
Position Surface form Disambiguated ID Type / Status
Subject L’uomo che ama E328510 entity
Predicate castMember P1668 FINISHED
Object Antonio Garrido
Antonio Garrido is a Spanish actor and television presenter known for his roles in film and TV series as well as hosting various entertainment programs.
E1092123 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: Antonio Garrido | Statement: [L’uomo che ama, castMember, Antonio Garrido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio Garrido
Context triple: [L’uomo che ama, castMember, Antonio Garrido]
  • A. Antonio Garrido Monteagudo
    Antonio Garrido Monteagudo is the birth name of Spanish singer Antonio Moreno, known for his contributions to Spanish popular music.
  • B. Álvaro Molinero
    Álvaro Molinero is a person notable enough to be recognized as a prominent bearer of the surname Molinero.
  • C. Antonio Tavira
    Antonio Tavira was a notable Spanish cleric and intellectual whose legacy is commemorated by the naming of the Tavira Tower.
  • D. Carlos Molinero
    Carlos Molinero is a Spanish film director and screenwriter known for his work in contemporary Spanish cinema.
  • E. Fernando García
    Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
  • 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: Antonio Garrido
Triple: [L’uomo che ama, castMember, Antonio Garrido]
Generated description
Antonio Garrido is a Spanish actor and television presenter known for his roles in film and TV series as well as hosting various entertainment programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Antonio Garrido
Target entity description: Antonio Garrido is a Spanish actor and television presenter known for his roles in film and TV series as well as hosting various entertainment programs.
  • A. Antonio Garrido Monteagudo
    Antonio Garrido Monteagudo is the birth name of Spanish singer Antonio Moreno, known for his contributions to Spanish popular music.
  • B. Álvaro Molinero
    Álvaro Molinero is a person notable enough to be recognized as a prominent bearer of the surname Molinero.
  • C. Antonio Tavira
    Antonio Tavira was a notable Spanish cleric and intellectual whose legacy is commemorated by the naming of the Tavira Tower.
  • D. Carlos Molinero
    Carlos Molinero is a Spanish film director and screenwriter known for his work in contemporary Spanish cinema.
  • E. Fernando García
    Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cfae6bc8190ac6851a3fa2dfb12 completed May 8, 2026, 1:31 a.m.
NEDg Description generation batch_69fd40d73d588190a85e2d58a2c37473 completed May 8, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_69fd412812a08190ae113d4dd257d453 completed May 8, 2026, 1:49 a.m.
Created at: April 9, 2026, 9:54 p.m.