Triple

T2096444
Position Surface form Disambiguated ID Type / Status
Subject José Alexandre E32791 entity
Predicate spouse P13 FINISHED
Object Emília Baptista E32230 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: Emília Baptista | Statement: [José Alexandre, spouse, Emília Baptista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emília Baptista
Context triple: [José Alexandre, spouse, Emília Baptista]
  • A. Emília Baptista (former) chosen
    Emília Baptista is the former wife of East Timorese independence leader and politician Xanana Gusmão.
  • B. Matilde Andrades
    Matilde Andrades was the mother of influential American artist Jean-Michel Basquiat.
  • C. Lygia Pape
    Lygia Pape was a pioneering Brazilian visual artist and key figure in the Neo-Concrete movement, known for her innovative work in abstraction, participatory art, and experimental film.
  • D. Luisa
    Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
  • E. María dos Prazeres
    María dos Prazeres is a short story by Gabriel García Márquez that follows an aging prostitute in Barcelona who meticulously prepares for her own death after dreaming of it.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba9b1f048190b82adfb7d8814173 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae305eabc48190b6912e05833580d8 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:43 p.m.