Triple

T13962702
Position Surface form Disambiguated ID Type / Status
Subject Antonio Tabucchi E335836 entity
Predicate notableWork P4 FINISHED
Object Sostiene Pereira E335837 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: Sostiene Pereira | Statement: [Antonio Tabucchi, notableWork, Sostiene Pereira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sostiene Pereira
Context triple: [Antonio Tabucchi, notableWork, Sostiene Pereira]
  • A. Sostiene Pereira chosen
    Sostiene Pereira is a celebrated novel by Antonio Tabucchi that follows an aging journalist in 1930s Lisbon as he gradually awakens to political resistance under Salazar’s dictatorship.
  • B. Pérez
    Pérez is a common Spanish-language surname widely found in Spain and Latin America.
  • C. Paredes
    Paredes is a municipality in northern Portugal known for its historical heritage and proximity to the Porto metropolitan area.
  • D. Camisa Amarela
    "Camisa Amarela" is a famous Brazilian samba song composed by Ary Barroso, celebrated as a classic of early 20th-century popular music in Brazil.
  • E. Pereirana
    Pereirana is the Spanish term for a female inhabitant or native of the city of Pereira in Colombia.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7c73d48190b8e02971b5a8ed5f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d6b2e88190b4d2237413f509ee completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.