Triple
T3331910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe |
E70050
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Pino |
E348037
|
NE FINISHED |
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: Pino | Statement: [Giuseppe, shortForm, Pino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pino Context triple: [Giuseppe, shortForm, Pino]
-
A.
Pino
chosen
Pino is an Italian diminutive form of the given name Giuseppe, commonly used as a familiar or affectionate nickname.
-
B.
Isnello
Isnello is a small historic town and municipality nestled in the Madonie mountain range in northern Sicily, Italy.
-
C.
Pio
Pio is the costumed mascot representing the athletic teams and school spirit of Lewis & Clark College.
-
D.
Nino
Nino is the commonly used name of Italian composer Nino Rota, renowned for his film scores including those for Federico Fellini and The Godfather.
-
E.
Panza
Panza is the surname of Sancho Panza, the loyal squire and comic foil to Don Quixote in Miguel de Cervantes' classic novel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb19358e48190a503af01b92273a4 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b32514c2f48190b20b8975c96d32a7 |
completed | March 12, 2026, 8:41 p.m. |
Created at: March 8, 2026, 3:12 p.m.