Triple
T14136180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Benedetto, Duke of Chablais |
E350300
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Benedetto |
E218627
|
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: Benedetto | Statement: [Prince Benedetto, Duke of Chablais, givenName, Benedetto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benedetto Context triple: [Prince Benedetto, Duke of Chablais, givenName, Benedetto]
-
A.
Benedetto
chosen
Benedetto is the Italian form of the given name Benedict, traditionally associated with blessings and several notable religious and historical figures.
-
B.
Biagio
Biagio is the Italian given name corresponding to Blaise, used both as a first name and a surname in Italian-speaking contexts.
-
C.
Gherardo
Gherardo is a minor character in Giacomo Puccini’s comic opera *Gianni Schicchi*, one of the relatives scheming over Buoso Donati’s inheritance.
-
D.
Gabriele
Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
-
E.
Lamberto
Lamberto is an Italian given name, equivalent to Lambert, used primarily in Italian-speaking regions.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610fb86c81909eb26bf9c13696ca |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c27b7088190bd7714391d0536b1 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 12:18 a.m.