Triple
T5645309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Barroso |
E124369
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | João Soares |
E111383
|
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: João Soares | Statement: [Maria Barroso, child, João Soares]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: João Soares Context triple: [Maria 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.
Luís Soares
Luís Soares is a Portuguese long-distance runner who competed in international events, including the Olympic Games.
-
C.
João Sàágua
João Sàágua is a Portuguese academic and higher-education leader who serves as rector of NOVA University Lisbon.
-
D.
João Ramalho Eanes
João Ramalho Eanes is known primarily as the son of António Ramalho Eanes, the former President of Portugal.
-
E.
Vasco Lourenço
Vasco Lourenço is a Portuguese military officer and political figure best known as one of the key leaders of the Carnation Revolution that ended the Estado Novo dictatorship in Portugal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a8eccc8190837d4705670dc25e |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0a12a0081908401ed6787d1dc4a |
completed | March 23, 2026, 3:16 a.m. |
Created at: March 22, 2026, 3:41 p.m.