Triple
T20160166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enzo |
E491680
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Enzo (Spanish usage) |
—
|
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: Enzo (Spanish usage) | Statement: [Enzo, hasVariant, Enzo (Spanish usage)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enzo (Spanish usage) Context triple: [Enzo, hasVariant, Enzo (Spanish usage)]
-
A.
Enzo
chosen
Enzo is an Italian given name commonly used as a standalone name and also as a diminutive or short form of longer names like Vincenzo or Lorenzo.
-
B.
Spagnuolo
Spagnuolo is the surname of Steve Spagnuolo, an American football coach best known as the defensive coordinator for multiple Super Bowl–winning teams.
-
C.
Gianfranco
Gianfranco is an Italian masculine given name commonly associated with notable figures in fashion, sports, and the arts.
-
D.
Giancarlo
Giancarlo is an Italian masculine given name commonly used in Italy and among Italian communities worldwide.
-
E.
Sergio
Sergio is a masculine given name commonly used in Spanish and Italian-speaking countries, derived from the Latin name Sergius.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e37c8c8190827839291027d9e2 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.