Triple

T23055549
Position Surface form Disambiguated ID Type / Status
Subject Café Filho E574145 entity
Predicate familyName P18 FINISHED
Object Café Filho 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: Café Filho | Statement: [Café Filho, familyName, Café Filho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Café Filho
Context triple: [Café Filho, familyName, Café Filho]
  • A. Café Filho chosen
    Café Filho was a Brazilian politician who briefly served as President of Brazil in the mid-1950s following the suicide of Getúlio Vargas.
  • B. Café A Brasileira
    Café A Brasileira is a historic and iconic Lisbon coffeehouse in the Chiado district, famed for its literary clientele and classic Belle Époque atmosphere.
  • C. Café Plaza Grande
    Café Plaza Grande is an upscale restaurant located within the historic Hotel Plaza Grande in Quito, Ecuador, known for its elegant ambiance and refined cuisine.
  • D. Picada Café
    Picada Café is a small municipality in Brazil’s Serra Gaúcha region, known for its German immigrant heritage, traditional architecture, and rural tourism.
  • E. Café Musain
    Café Musain is the fictional Parisian café in Victor Hugo’s "Les Misérables" where the revolutionary student group Les Amis de l’ABC regularly gathers.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867f71508190ad4513c6de2453e6 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.