Triple

T22784547
Position Surface form Disambiguated ID Type / Status
Subject Espoir: Sierra de Teruel E563928 entity
Predicate screenwriter P2831 FINISHED
Object Max Aub 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: Max Aub | Statement: [Espoir: Sierra de Teruel, screenwriter, Max Aub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Aub
Context triple: [Espoir: Sierra de Teruel, screenwriter, Max Aub]
  • A. Max Aub chosen
    Max Aub was a Spanish-Mexican writer and intellectual best known for his experimental novels and plays about the Spanish Civil War and exile.
  • B. Lucien Millevoye
    Lucien Millevoye was a French nationalist politician, journalist, and lawyer active in the late 19th and early 20th centuries.
  • C. Aimé Sauffroy
    Aimé Sauffroy was a French architect known for overseeing the reconstruction of the historic Théâtre de la Porte Saint-Martin in Paris.
  • D. Pierre Naville
    Pierre Naville was a French writer, sociologist, and political activist associated with the early Surrealist movement in Paris and later known for his Marxist and Trotskyist engagements.
  • E. Jean-Maurice Rouquette
    Jean-Maurice Rouquette was a French historian and curator best known as a co-founder and key figure behind the influential photography festival Les Rencontres d’Arles.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2f9ba48190996b4c3926728c03 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.