Triple

T13700795
Position Surface form Disambiguated ID Type / Status
Subject L’uomo che ama E328510 entity
Predicate musicBy P1952 FINISHED
Object César Benito
César Benito is a Spanish composer best known for his evocative film and television scores.
E1066007 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: César Benito | Statement: [L’uomo che ama, musicBy, César Benito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: César Benito
Context triple: [L’uomo che ama, musicBy, César Benito]
  • A. Julio Valveras
    Julio Valveras is a character in the musical "Paint Your Wagon," for whom the song "I Talk to the Trees" is performed.
  • B. Manuel Micheltorena
    Manuel Micheltorena was a Mexican general and politician who served as the penultimate Mexican governor of Alta California in the 1840s.
  • C. José Antonio
    José Antonio is a common Spanish male given name widely used across Spain and Latin America, often associated with historical, political, and cultural figures.
  • D. José María
    José María is the given name of José María Morelos y Pavón, a key leader and hero of the Mexican War of Independence.
  • E. Juan Antonio
    Juan Antonio is a charismatic Spanish painter and romantic lead in the film "Vicky Cristina Barcelona," whose passionate relationships drive much of the movie’s drama.
  • 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: César Benito
Triple: [L’uomo che ama, musicBy, César Benito]
Generated description
César Benito is a Spanish composer best known for his evocative film and television scores.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: César Benito
Target entity description: César Benito is a Spanish composer best known for his evocative film and television scores.
  • A. Julio Valveras
    Julio Valveras is a character in the musical "Paint Your Wagon," for whom the song "I Talk to the Trees" is performed.
  • B. Manuel Micheltorena
    Manuel Micheltorena was a Mexican general and politician who served as the penultimate Mexican governor of Alta California in the 1840s.
  • C. José Antonio
    José Antonio is a common Spanish male given name widely used across Spain and Latin America, often associated with historical, political, and cultural figures.
  • D. José María
    José María is the given name of José María Morelos y Pavón, a key leader and hero of the Mexican War of Independence.
  • E. Juan Antonio
    Juan Antonio is a charismatic Spanish painter and romantic lead in the film "Vicky Cristina Barcelona," whose passionate relationships drive much of the movie’s drama.
  • 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_69f7c0db310c81909c22507f9a3e7dee completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c1e73fb481909f89ab3c0e9fb7d0 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3396f7c8190987079bf24ac8695 completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 9:54 p.m.