Triple
T7659103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gianni Versace |
E173457
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Gianni |
E543193
|
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: Gianni | Statement: [Gianni Versace, nickname, Gianni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gianni Context triple: [Gianni Versace, nickname, Gianni]
-
A.
Gianni
chosen
Gianni is an Italian given name commonly used for men, often as a diminutive of Giovanni.
-
B.
Giorgio
Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
-
C.
Jep Gambardella
Jep Gambardella is a jaded, aging Roman journalist and socialite who reflects on beauty, decadence, and the passage of time in Paolo Sorrentino’s film "The Great Beauty."
-
D.
Stefano
Stefano is the Italian given name corresponding to the Hungarian name István, commonly used as a male first name in Italy.
-
E.
Gabrio
Gabrio is an Italian given name, typically considered a variant or related form of Gabriele.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a32f588190a7a923e8ce43f727 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8dea25d2081908ebbf2bb5f94b7d6 |
completed | March 29, 2026, 8:11 a.m. |
Created at: March 27, 2026, 3:59 p.m.