Triple
T21769273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria de Jesus Barroso |
E537379
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | João Soares |
—
|
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 Soares | Statement: [Maria de Jesus Barroso, child, João Soares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: João Soares Context triple: [Maria de Jesus Barroso, child, João Soares]
-
A.
João Soares
chosen
João Soares is a Portuguese politician and former mayor of Lisbon, known as the son of former Portuguese president Mário Soares.
-
B.
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.
-
C.
Luís Soares
Luís Soares is a Portuguese long-distance runner who competed in international events, including the Olympic Games.
-
D.
Gregório Lopes
Gregório Lopes was a prominent Portuguese Renaissance painter known for his religious altarpieces and contributions to the development of 16th-century Portuguese art.
-
E.
João Sàágua
João Sàágua is a Portuguese academic and higher-education leader who serves as rector of NOVA University Lisbon.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ac10808190837a0f69c4f8a02d |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.