Triple

T38175461
Position Surface form Disambiguated ID Type / Status
Subject Ilê Aiyê E1000198 entity
Predicate founder P104 FINISHED
Object Antônio Carlos dos Santos
Antônio Carlos dos Santos is a Brazilian cultural leader best known for founding Ilê Aiyê, one of Salvador’s most influential Afro-Brazilian carnival and cultural organizations.
E2265310 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: Antônio Carlos dos Santos | Statement: [Ilê Aiyê, founder, Antônio Carlos dos Santos]
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 Carlos dos Santos
Triple: [Ilê Aiyê, founder, Antônio Carlos dos Santos]
Generated description
Antônio Carlos dos Santos is a Brazilian cultural leader best known for founding Ilê Aiyê, one of Salvador’s most influential Afro-Brazilian carnival and cultural organizations.

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_69f76daaace48190a38cee37f8ce343f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fcb0ff67088190b7fa6d05b5d8043e completed May 7, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41a7d1e1488190b5ceeaa86f85bd76 completed June 28, 2026, 11:01 p.m.
NEDg Description generation batch_6a41a93932f48190af959eaeb0c10d82 completed June 28, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_6a41a96a056081908c33b5442987b9a5 completed June 28, 2026, 11:08 p.m.
Created at: May 3, 2026, 4:29 p.m.