Triple
T16912453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando |
E410234
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Ferdinando |
E466087
|
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: Ferdinando | Statement: [Fernando, hasCognate, Ferdinando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferdinando Context triple: [Fernando, hasCognate, Ferdinando]
-
A.
Ferdinando
chosen
Ferdinando is a masculine given name of Italian and Spanish origin, related to the name Ferdinand and historically borne by various European nobles and notable figures.
-
B.
Ludovico
Ludovico is an Italian given name, historically borne by various notable figures in art, music, and nobility.
-
C.
Federico
Federico is the Italian and Spanish form of the given name Frederick, commonly used in Romance-language countries.
-
D.
Gian Gastone
Gian Gastone was the last Grand Duke of Tuscany from the Medici dynasty, known for his reclusive rule and the decline of Medici power.
-
E.
Francesco
Francesco is the birth name of Frank Capra, the renowned Italian-American film director known for classic Hollywood movies such as "It's a Wonderful Life."
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd0ff2881908686678daab46664 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:30 a.m.