Triple
T3714629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedetto Croce |
E81496
|
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: [Benedetto Croce, givenName, Benedetto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benedetto Context triple: [Benedetto Croce, 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.
Gabriele
Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
-
C.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
-
D.
Domenico
Domenico is a masculine given name of Italian origin, historically borne by several notable figures including architects, artists, and religious leaders.
-
E.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ce253c8190ada8eaa395fd3d5c |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5120d23f481908f71e291c089505c |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 8, 2026, 3:33 p.m.