Triple

T21561551
Position Surface form Disambiguated ID Type / Status
Subject Don Alvarado E532047 entity
Predicate name P16 FINISHED
Object Don Alvarado 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: Don Alvarado | Statement: [Don Alvarado, name, Don Alvarado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Alvarado
Context triple: [Don Alvarado, name, Don Alvarado]
  • A. Don Alvarado chosen
    Don Alvarado was a Mexican-American actor prominent in the silent and early sound film era, often cast as a romantic leading man in Hollywood productions of the 1920s and 1930s.
  • B. Diego Ruiz de Montoya
    Diego Ruiz de Montoya was a prominent Baroque-era Jesuit theologian and philosopher known for his influential contributions to late scholastic thought.
  • C. José Coronado
    José Coronado is a prominent Spanish film and television actor known for his intense dramatic roles and acclaimed performances, including his Goya-winning work.
  • D. Omar de Soto
    Omar de Soto is known as the husband of German film director and producer Roland Emmerich.
  • E. Don Diego de Vargas
    Don Diego de Vargas was a Spanish colonial governor of New Mexico best known for leading the reconquest of the territory following the Pueblo Revolt of 1680.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e3e2348190b5c3b66cdc871e6e completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.