Triple
T11559938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luciani |
E274114
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object | Luciano |
E306977
|
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: Luciano | Statement: [Luciani, derivedFromGivenName, Luciano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luciano Context triple: [Luciani, derivedFromGivenName, Luciano]
-
A.
Luciano
chosen
Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
-
B.
Marcello
Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
-
C.
Luciano Emilio
Luciano Emilio is a Brazilian former professional soccer forward best known for his prolific goal-scoring with D.C. United in Major League Soccer.
-
D.
Antonio Contino
Antonio Contino was a Venetian architect best known for designing the iconic Bridge of Sighs in Venice, Italy.
-
E.
Fabrizio
Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a899d4481909a3bce3147763b51 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e88b84d48190948243646bb5fd2b |
completed | April 21, 2026, 3:01 a.m. |
Created at: April 8, 2026, 9:37 p.m.