Triple

T24191372
Position Surface form Disambiguated ID Type / Status
Subject União São João Esporte Clube E599707 entity
Predicate foundedBy P104 FINISHED
Object José Luís Gomes de Moraes
José Luís Gomes de Moraes was a Brazilian sports executive best known as the founder of the football club União São João Esporte Clube.
E1665986 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: José Luís Gomes de Moraes | Statement: [União São João Esporte Clube, foundedBy, José Luís Gomes de Moraes]
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: José Luís Gomes de Moraes
Triple: [União São João Esporte Clube, foundedBy, José Luís Gomes de Moraes]
Generated description
José Luís Gomes de Moraes was a Brazilian sports executive best known as the founder of the football club União São João Esporte Clube.

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_69e288cdc8b88190bf2f835d3cb4ca28 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e247b60c8190a123dd5c6f7f8d3c completed April 29, 2026, 10:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105cb38dd48190bb7e4dfdc5daac42 completed May 22, 2026, 1:40 p.m.
NEDg Description generation batch_6a105e66f3b08190a2c6d28fc8a3cf4b completed May 22, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_6a105ebce9188190b2bb2874b41008f0 completed May 22, 2026, 1:48 p.m.
Created at: April 17, 2026, 11:35 p.m.