Triple
T4788036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edoardo Amaldi |
E106531
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Edoardo |
E204037
|
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: Edoardo | Statement: [Edoardo Amaldi, givenName, Edoardo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edoardo Context triple: [Edoardo Amaldi, givenName, Edoardo]
-
A.
Edoardo
chosen
Edoardo is the Italian form of the given name Édouard, commonly used as a male first name in Italy.
-
B.
Guglielmo
Guglielmo is the Italian given name equivalent to William, commonly used in Italy and among Italian speakers.
-
C.
Alessandro
Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
-
D.
Massimiliano
Massimiliano is the Italian form of the given name Maximilian, commonly used as a male first name in Italy and other Italian-speaking communities.
-
E.
Umberto
Umberto was the given name of Umberto I, the 19th-century King of Italy who reigned from 1878 to 1900.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65da229c81909c703393f7b9b71d |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d93f2cc8190acf96766d2c5a946 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:22 p.m.