Triple
T4287855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donatello |
E97313
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Donato
Donato is the Italian given name of the Renaissance sculptor Donatello, reflecting a traditional male name meaning "given" or "gifted."
|
E428071
|
NE FINISHED |
How this triple was built (4 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: Donato | Statement: [Donatello, givenName, Donato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donato Context triple: [Donatello, givenName, Donato]
-
A.
Dante Di Loreto
Dante Di Loreto is a television and film producer best known for his work on the hit musical series "Glee" and other acclaimed projects.
-
B.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
C.
Pietro
Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
-
D.
Domenico
Domenico is a masculine given name of Italian origin, historically borne by several notable figures including architects, artists, and religious leaders.
-
E.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Donato Triple: [Donatello, givenName, Donato]
Generated description
Donato is the Italian given name of the Renaissance sculptor Donatello, reflecting a traditional male name meaning "given" or "gifted."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donato Target entity description: Donato is the Italian given name of the Renaissance sculptor Donatello, reflecting a traditional male name meaning "given" or "gifted."
-
A.
Dante Di Loreto
Dante Di Loreto is a television and film producer best known for his work on the hit musical series "Glee" and other acclaimed projects.
-
B.
Paolo
Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
-
C.
Pietro
Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
-
D.
Domenico
Domenico is a masculine given name of Italian origin, historically borne by several notable figures including architects, artists, and religious leaders.
-
E.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
- F. None of above. chosen
Provenance (5 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505ef9fc81909c73e64bf77052ce |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c72bec388190b03048507e2e6858 |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c7ab41fc81909813233bd729e989 |
completed | March 14, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c81d6e188190a1f0f21a990943d0 |
completed | March 14, 2026, 8:42 p.m. |
Created at: March 12, 2026, 11:08 p.m.