Triple

T7234044
Position Surface form Disambiguated ID Type / Status
Subject Tunga E155176 entity
Predicate givenName P17 FINISHED
Object Antônio
Antônio is the given name of the Brazilian artist known professionally as Tunga, a prominent figure in contemporary sculpture and installation art.
 E649999 NE FINISHED

How this triple was built (4 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: Antônio | Statement: [Tunga, givenName, Antônio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antônio
Context triple: [Tunga, givenName, Antônio]
  • A. João
    João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
  • B. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • C. Manoel
    Manoel is a given name, commonly used in Portuguese- and Spanish-speaking cultures, that is a variant of the name Emmanuel.
  • D. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • E. João dos Santos
    João dos Santos is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Santos.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Antônio
Triple: [Tunga, givenName, Antônio]
Generated description
Antônio is the given name of the Brazilian artist known professionally as Tunga, a prominent figure in contemporary sculpture and installation art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antônio
Target entity description: Antônio is the given name of the Brazilian artist known professionally as Tunga, a prominent figure in contemporary sculpture and installation art.
  • A. João
    João is a common Portuguese male given name widely used in Portuguese-speaking countries, equivalent to "John" in English.
  • B. Sebastião
    Sebastião is the Portuguese variant of the given name Sebastian, commonly used in Portuguese-speaking countries.
  • C. Manoel
    Manoel is a given name, commonly used in Portuguese- and Spanish-speaking cultures, that is a variant of the name Emmanuel.
  • D. António
    António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
  • E. João dos Santos
    João dos Santos is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Santos.
  • F. None of above. chosen

Provenance (5 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea11b03c81909702ad2e0c29758a completed March 27, 2026, 8:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc2d96588190bcf150cbfe4d015c completed March 28, 2026, 12:40 p.m.
NEDg Description generation batch_69c7cce6a290819096ff68333cd3a3cf completed March 28, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_69c7cd9966e481909eb3c23bb59777d9 completed March 28, 2026, 12:46 p.m.
Created at: March 27, 2026, 2:55 p.m.