Triple
T21769249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria de Jesus Barroso |
E537379
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Barroso |
—
|
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: Barroso | Statement: [Maria de Jesus Barroso, familyName, Barroso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barroso Context triple: [Maria de Jesus Barroso, familyName, Barroso]
-
A.
Barroso
chosen
Barroso is a Spanish-origin surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
B.
Barroso
Barroso is a traditional cultural and historical region in northern Portugal known for its rural landscapes, communal farming practices, and distinctive local heritage.
-
C.
Bruno Barroso
Bruno Barroso is a relatively obscure individual sharing the Barroso surname, without widely documented public prominence.
-
D.
Luiz André Barroso
Luiz André Barroso was a prominent Brazilian computer engineer and Google distinguished engineer known for pioneering work in data center design and large-scale distributed systems.
-
E.
Manuel Barroso
Manuel Barroso is a Portuguese politician best known for serving as President of the European Commission from 2004 to 2014.
- 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.