Triple
T340474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Paul III |
E6824
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alessandro |
E39242
|
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: Alessandro | Statement: [Pope Paul III, givenName, Alessandro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alessandro Context triple: [Pope Paul III, givenName, Alessandro]
-
A.
Alessandro
chosen
Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
-
B.
Guglielmo
Guglielmo is the Italian given name equivalent to William, commonly used in Italy and among Italian speakers.
-
C.
Pietro
Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
-
D.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
E.
Andreas
Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eae4fcc08190bd4c2bf0149c8b50 |
completed | Feb. 28, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d7e8719c819099d7c362743a8108 |
completed | March 1, 2026, 6:08 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.