Triple
T8598223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Amedeo, Duke of Aosta |
E203603
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Amedeo |
E203603
|
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: Amedeo | Statement: [Prince Amedeo, Duke of Aosta, givenName, Amedeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amedeo Context triple: [Prince Amedeo, Duke of Aosta, givenName, Amedeo]
-
A.
Amedeo
chosen
Amedeo is an Italian given name most famously borne by the scientist Amedeo Avogadro, known for Avogadro's law and Avogadro's number in chemistry.
-
B.
Gaetano
Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
-
C.
Giacinto
Giacinto is an Italian masculine given name of Latin origin, traditionally associated with the name Hyacinth.
-
D.
Enrico
Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
-
E.
Amadeo
Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cc8b2081909c6aa45f8656f2ad |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3332a008190bbeba37bcfc355cb |
completed | April 2, 2026, 10:52 p.m. |
Created at: March 30, 2026, 6:24 p.m.