Triple
T7439655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugo Boncompagni |
E171712
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ugo |
E132834
|
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: Ugo | Statement: [Ugo Boncompagni, givenName, Ugo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ugo Context triple: [Ugo Boncompagni, givenName, Ugo]
-
A.
Ugo
chosen
Ugo is an Italian given name, cognate with the English name Hugh, traditionally associated with meanings related to mind, spirit, or heart.
-
B.
Ulrico
Ulrico is a masculine given name, primarily used in Italian and Spanish contexts, that derives from and is related to the Germanic name Ulrich.
-
C.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
D.
Giulianino
Giulianino is an Italian diminutive given name, typically used as an affectionate or smaller form of Giuliano.
-
E.
Ambrogio
Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34c28648190a426b5d7623b41e8 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c82791ff2c81909967f145d24ff036 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:13 p.m.