Triple

T9822303
Position Surface form Disambiguated ID Type / Status
Subject Madalena Gusmão E238561 entity
Predicate hasParent P120 FINISHED
Object José Alexandre E32791 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: José Alexandre | Statement: [Madalena Gusmão, hasParent, José Alexandre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Alexandre
Context triple: [Madalena Gusmão, hasParent, José Alexandre]
  • A. José Alexandre chosen
    José Alexandre is the birth name of Xanana Gusmão, the prominent East Timorese independence leader and statesman.
  • B. José Resende
    José Resende is a Brazilian sculptor known for his innovative use of industrial materials and significant contributions to contemporary art in Brazil.
  • C. José Nogueira
    José Nogueira was a prominent 19th-century Portuguese-Chilean businessman and pioneer of Patagonian development, whose wealth and legacy are closely tied to the history of Punta Arenas.
  • D. Júlio Resende
    Júlio Resende was a prominent Portuguese painter and visual artist known for his modernist style and significant contributions to public art in Portugal.
  • E. Franco da Rocha
    Franco da Rocha is a municipality in the metropolitan region of São Paulo, Brazil, known historically for its psychiatric hospital complex and growing urban development.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb315ddf48190bd90f7835f409bb6 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5b9110881909405d94e0db40eac completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:31 p.m.