Triple
T20047982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | João Sàágua |
E497612
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | João Sàágua |
—
|
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: João Sàágua | Statement: [João Sàágua, name, João Sàágua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: João Sàágua Context triple: [João Sàágua, name, João Sàágua]
-
A.
João Sàágua
chosen
João Sàágua is a Portuguese academic and higher-education leader who serves as rector of NOVA University Lisbon.
-
B.
António Soares Carneiro
António Soares Carneiro was a Portuguese military officer and conservative politician who became widely known for his strong right-wing candidacy in Portugal’s 1980 presidential election.
-
C.
Luís Soares
Luís Soares is a Portuguese long-distance runner who competed in international events, including the Olympic Games.
-
D.
José Soares
José Soares is a musician best known as a member of Sérgio Mendes & Brasil '66, the influential Brazilian bossa nova and jazz-pop group.
-
E.
Antônio Pinto
Antônio Pinto is a Brazilian film composer known for his evocative scores for international films such as "City of God," "Central Station," and various Hollywood productions.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632c085081908710cbc939ac9971 |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:37 p.m.