Triple
T22098754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazzarini |
E546109
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Mazarini |
—
|
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: Mazarini | Statement: [Mazzarini, hasVariantSpelling, Mazarini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazarini Context triple: [Mazzarini, hasVariantSpelling, Mazarini]
-
A.
Mazarati
Mazarati was a mid-1980s funk and R&B band from the Prince-associated Minneapolis music scene, best known for their connection to The Revolution’s BrownMark and the original version of “Kiss.”
-
B.
Mazzarini
chosen
Mazzarini is an Italian surname historically associated with notable figures in politics, religion, and the arts.
-
C.
Marquis of Nisa
The Marquis of Nisa was a Portuguese noble title historically associated with the prominent da Gama family, descendants of the explorer Vasco da Gama.
-
D.
Mata Mourisca
Mata Mourisca is a civil parish in the municipality of Pombal, in Portugal’s Leiria District.
-
E.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129131b4c8190b443bc820d9b5c61 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.