Triple
T21769248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria de Jesus Barroso |
E537379
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Maria de Jesus |
—
|
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: Maria de Jesus | Statement: [Maria de Jesus Barroso, givenName, Maria de Jesus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria de Jesus Context triple: [Maria de Jesus Barroso, givenName, Maria de Jesus]
-
A.
Maria de Jesus
chosen
Maria de Jesus is a Portuguese public figure best known as the wife of former president Mário Soares and for her work as an actress and humanitarian.
-
B.
Maria do Amparo
Maria do Amparo is the mother of Portuguese actress and singer Lúcia Moniz.
-
C.
Maria Isabel
Maria Isabel is the birth name of Isabel Toledo, the acclaimed Cuban-American fashion designer known for her innovative, architecturally inspired garments.
-
D.
Ana Maria
Ana Maria is an artist best known for creating the cover artwork for Bob Dylan’s album "World Gone Wrong."
-
E.
Ana Maria
Ana Maria is a notable racehorse associated with the legendary American Thoroughbred champion Native Dancer.
- 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.