Triple
T22643665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anita Malfatti |
E558896
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Malfatti |
—
|
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: Malfatti | Statement: [Anita Malfatti, familyName, Malfatti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malfatti Context triple: [Anita Malfatti, familyName, Malfatti]
-
A.
Malfatti
chosen
Malfatti is an Italian-origin surname notably associated with Brazilian modernist painter Anita Malfatti.
-
B.
Morbidelli
Morbidelli was an Italian motorcycle manufacturer and racing team known for its success in Grand Prix motorcycle racing, particularly in the 1970s.
-
C.
Matteucci
Matteucci is an Italian surname associated with several notable figures in science, politics, and the arts.
-
D.
Poncelet
Poncelet is a French surname most notably associated with Jean-Victor Poncelet, a pioneering 19th-century mathematician and engineer known for his foundational work in projective geometry.
-
E.
Marinelli
Marinelli is a manipulative courtier and the prince’s scheming advisor in Gotthold Ephraim Lessing’s tragedy "Emilia Galotti."
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703577948190ae044df4f8500bfe |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:05 p.m.