Triple

T1232415
Position Surface form Disambiguated ID Type / Status
Subject Carlos César E26471 entity
Predicate name P16 FINISHED
Object Carlos César E26471 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: Carlos César | Statement: [Carlos César, name, Carlos César]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos César
Context triple: [Carlos César, name, Carlos César]
  • A. Carlos César chosen
    Carlos César is a Portuguese politician who has served as a prominent leader within the Socialist Party and held key governmental roles, including President of the Regional Government of the Azores.
  • B. Marcelo Roberto
    Marcelo Roberto was a prominent Brazilian architect and alumnus of the Escola Nacional de Belas Artes, known for his influential modernist works in the mid-20th century.
  • C. Edson Motta
    Edson Motta was a Brazilian artist and art educator recognized for his contributions to painting and for helping shape modern art instruction in Brazil.
  • D. Carlos Leão
    Carlos Leão was a Brazilian artist and architect associated with modernist movements in Brazil.
  • E. Jorge Moreira
    Jorge Moreira is a Brazilian architect and artist recognized as a distinguished graduate of the Escola Nacional de Belas Artes.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5b40208190b115a6a344402caf completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08a3865c819093a6ffd1a8c74e2e completed March 8, 2026, 5:26 a.m.
Created at: March 1, 2026, 7:47 p.m.