Triple
T23094774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Mantello |
E575853
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mantello |
—
|
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: Mantello | Statement: [Joe Mantello, familyName, Mantello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mantello Context triple: [Joe Mantello, familyName, Mantello]
-
A.
Mantello
chosen
Mantello is an Italian surname borne by various individuals, including notable figures in the arts and public life.
-
B.
La Mantovana
La Mantovana is a 16th-century Italian folk melody that became widely influential across Europe and later served as the musical basis for several national and folk anthems.
-
C.
Milanollo
Milanollo is a well-known British military march associated with the Coldstream Guards regiment.
-
D.
Capezio
Capezio is a renowned American manufacturer of dance shoes, apparel, and accessories widely used by dancers worldwide.
-
E.
Firenzuola
Firenzuola is a small Tuscan town in the Apennine mountains of Italy, known for its medieval origins and stone-working tradition.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de3b2b481909ef598b447ed4dd2 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:57 p.m.