Triple

T22341644
Position Surface form Disambiguated ID Type / Status
Subject Inês de Castro (play) E552288 entity
Predicate author P4 FINISHED
Object António Ferreira 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: António Ferreira | Statement: [Inês de Castro (play), author, António Ferreira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: António Ferreira
Context triple: [Inês de Castro (play), author, António Ferreira]
  • A. António Ferreira chosen
    António Ferreira was a prominent 16th-century Portuguese Renaissance poet and playwright, often regarded as a key figure in introducing classical humanist ideals into Portuguese literature.
  • B. António Menano
    António Menano was a renowned early 20th-century Portuguese singer celebrated as one of the most iconic voices of Coimbra fado.
  • C. António Gonçalves
    António Gonçalves was a Portuguese publisher known for issuing editions of Luís de Camões’ epic poem "Os Lusíadas."
  • D. António Garcia Pereira
    António Garcia Pereira is a Portuguese lawyer and left-wing politician known for his leadership in the Maoist-oriented PCTP/MRPP and multiple runs for the Portuguese presidency.
  • E. Antônio Pinto
    Antônio Pinto is a Brazilian film composer known for his evocative scores for international films such as "City of God," "Central Station," and various Hollywood productions.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15794fae48190a2b79e9ae4b57bb1 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.