Triple
T22872142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beatriz Milhazes |
E567225
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Milhazes |
—
|
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: Milhazes | Statement: [Beatriz Milhazes, familyName, Milhazes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milhazes Context triple: [Beatriz Milhazes, familyName, Milhazes]
-
A.
Milhazes
chosen
Milhazes is the surname of Brazilian contemporary artist Beatriz Milhazes, known for her vibrant, ornamental abstract paintings.
-
B.
Mazilu
Mazilu is a Romanian surname borne by various notable figures in fields such as politics, law, and the arts.
-
C.
Morais
Morais is the family name of Brazilian football legend Cafu, renowned as one of the greatest right-backs in the history of the sport.
-
D.
Marataízes
Marataízes is a coastal city in southeastern Brazil known for its beaches and tourism within the state of Espírito Santo.
-
E.
Vinantes
Vinantes is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f05c688819097ba3d24ea8e52f5 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.