Triple

T9293374
Position Surface form Disambiguated ID Type / Status
Subject Tristana E223574 entity
Predicate editedBy P1954 FINISHED
Object Pedro del Rey E792432 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: Pedro del Rey | Statement: [Tristana, editedBy, Pedro del Rey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pedro del Rey
Context triple: [Tristana, editedBy, Pedro del Rey]
  • A. Pedro del Rey chosen
    Pedro del Rey is a film editor best known for his work on Luis Buñuel’s acclaimed 1961 film "Viridiana."
  • B. Pedro de Ampudia
    Pedro de Ampudia was a 19th-century Spanish-born Mexican general who served as a prominent commander for Mexico during the Mexican–American War.
  • C. Fernando Peñalver
    Fernando Peñalver was a Venezuelan independence leader and politician who played a significant role in the early republican period of Venezuela.
  • D. Manuel de la Pezuela
    Manuel de la Pezuela was a Spanish nobleman and politician, known as the son of Viceroy Joaquín de la Pezuela and for holding aristocratic titles and public offices in 19th-century Spain.
  • E. Francisco de Robles
    Francisco de Robles was a Spanish bookseller and publisher best known for issuing the first edition of Miguel de Cervantes’ Don Quixote in the early 17th century.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0898b3288190a627a58bfd9c57fe completed April 1, 2026, 11:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0f39d06708190a85dcf3f35681d92 completed April 4, 2026, 11:18 a.m.
Created at: March 30, 2026, 7:35 p.m.