Triple

T23429415
Position Surface form Disambiguated ID Type / Status
Subject Héctor Alterio E563284 entity
Predicate notableWork P4 FINISHED
Object Camila NE NERFINISHED

How this triple was built (2 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: Camila | Statement: [Héctor Alterio, notableWork, Camila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camila
Context triple: [Héctor Alterio, notableWork, Camila]
  • A. Camila chosen
    Camila is a landmark Argentine historical drama film that portrays the tragic 19th-century love affair between Camila O’Gorman and a Jesuit priest under the dictatorship of Juan Manuel de Rosas.
  • B. Camila
    Camila is a feminine given name commonly used in Spanish- and Portuguese-speaking countries, often associated with grace and nobility.
  • C. Camila
    Camila is the given name of Cuban-American singer and songwriter Camila Cabello, known for hits like "Havana" and "Señorita."
  • D. Camila Rosario
    Camila Rosario is a character in the musical "In the Heights," known as a strong, pragmatic matriarch who helps anchor her family and community.
  • E. Camila Antonia Amaranta Vallejo Dowling
    Camila Antonia Amaranta Vallejo Dowling is a Chilean communist politician and former student leader who has served as a prominent member of Chile’s Chamber of Deputies and as a government minister.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d6d1c881908e3c4ac0e7cd30cd completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:48 p.m.