Triple
T15806407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaeta |
E383226
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Gaetano |
E738293
|
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: Gaetano | Statement: [Gaeta, hasDemonym, Gaetano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaetano Context triple: [Gaeta, hasDemonym, Gaetano]
-
A.
Gaetano
chosen
Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
-
B.
Giuseppe
Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
-
C.
Beniamino
Beniamino is the Italian form of the given name Benjamin, commonly used in Italy and among Italian speakers.
-
D.
Giacomo
Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
-
E.
Giacinto
Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52682548190998d8b6a08982877 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbbff15c81909cb148a33b51a16e |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:48 a.m.