Triple

T13596633
Position Surface form Disambiguated ID Type / Status
Subject Sergio Peris-Mencheta E324838 entity
Predicate familyName P18 FINISHED
Object Peris-Mencheta
Peris-Mencheta is the surname of Spanish actor and director Sergio Peris-Mencheta, known for his work in film, television, and theater.
E1048417 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: Peris-Mencheta | Statement: [Sergio Peris-Mencheta, familyName, Peris-Mencheta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peris-Mencheta
Context triple: [Sergio Peris-Mencheta, familyName, Peris-Mencheta]
  • A. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • B. Negrín
    Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
  • C. La Serna
    La Serna is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Fuenlabrada area in the Community of Madrid, Spain.
  • D. Almenar
    Almenar is a municipality in the comarca of Segrià in the province of Lleida, Catalonia, Spain.
  • E. Olmedo
    Olmedo is a small town in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • 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: Peris-Mencheta
Triple: [Sergio Peris-Mencheta, familyName, Peris-Mencheta]
Generated description
Peris-Mencheta is the surname of Spanish actor and director Sergio Peris-Mencheta, known for his work in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peris-Mencheta
Target entity description: Peris-Mencheta is the surname of Spanish actor and director Sergio Peris-Mencheta, known for his work in film, television, and theater.
  • A. Balazote
    Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
  • B. Negrín
    Negrín is a Spanish surname most notably associated with Juan Negrín, the physician and politician who served as Prime Minister of the Second Spanish Republic during the Spanish Civil War.
  • C. La Serna
    La Serna is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Fuenlabrada area in the Community of Madrid, Spain.
  • D. Almenar
    Almenar is a municipality in the comarca of Segrià in the province of Lleida, Catalonia, Spain.
  • E. Olmedo
    Olmedo is a small town in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0590558819080ccc5874a650b1e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc99dac8190bc267fdf405e8d58 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77643b0348190962bf23a9857edbe completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.