Triple

T11173422
Position Surface form Disambiguated ID Type / Status
Subject Desi Arnaz E264341 entity
Predicate mother P120 FINISHED
Object Dolores de Acha E264341 NE FINISHED

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: Dolores de Acha | Statement: [Desi Arnaz, mother, Dolores de Acha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolores de Acha
Context triple: [Desi Arnaz, mother, Dolores de Acha]
  • A. Dolores de Acha chosen
    Dolores de Acha is the mother of Cuban-American actor, musician, and television producer Desi Arnaz.
  • B. Amparo Illana
    Amparo Illana was a Spanish public figure and humanitarian best known as the wife of Spain’s first democratic Prime Minister after Franco, Adolfo Suárez.
  • C. Carmen Calvo
    Carmen Calvo is a Spanish conceptual artist known for her evocative mixed-media works that explore memory, identity, and the passage of time.
  • D. Carmen de la Legua-Reynoso
    Carmen de la Legua-Reynoso is an urban district within the Lima metropolitan area in Peru, known for its dense population and proximity to the Callao seaport and Jorge Chávez International Airport.
  • E. Luisa Cervera
    Luisa Cervera is a notable individual who carries the Cervera surname, recognized as a distinguished bearer of that family name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e897774c819088ebc7231cebfba6 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496d1ffa48190b29b4d4b71803564 completed April 19, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:29 p.m.