Triple
T6551512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benvenuto Cellini |
E151140
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Benvenuto
Benvenuto is an Italian masculine given name most famously borne by the Renaissance sculptor and goldsmith Benvenuto Cellini.
|
E604584
|
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: Benvenuto | Statement: [Benvenuto Cellini, givenName, Benvenuto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benvenuto Context triple: [Benvenuto Cellini, givenName, Benvenuto]
-
A.
Willkommen
"Willkommen" is the iconic opening number from the musical *Cabaret*, introducing the seedy, seductive world of the Kit Kat Klub and its enigmatic Emcee.
-
B.
Welkom
Welkom is a South African city in the Free State province known historically for its gold mining industry and planned urban layout.
-
C.
Welcome
Welcome is a 2009 French drama film directed by Philippe Lioret, known for its poignant portrayal of an Iraqi Kurdish refugee in Calais who trains to swim the English Channel.
-
D.
Welcome
Welcome is an unincorporated rural community located in Coweta County, Georgia, United States.
-
E.
Welcome
"Welcome" is a 1973 jazz fusion–oriented studio album by the Latin rock band Santana, noted for its spiritual themes and experimental, progressive sound.
- 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: Benvenuto Triple: [Benvenuto Cellini, givenName, Benvenuto]
Generated description
Benvenuto is an Italian masculine given name most famously borne by the Renaissance sculptor and goldsmith Benvenuto Cellini.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benvenuto Target entity description: Benvenuto is an Italian masculine given name most famously borne by the Renaissance sculptor and goldsmith Benvenuto Cellini.
-
A.
Willkommen
"Willkommen" is the iconic opening number from the musical *Cabaret*, introducing the seedy, seductive world of the Kit Kat Klub and its enigmatic Emcee.
-
B.
Welkom
Welkom is a South African city in the Free State province known historically for its gold mining industry and planned urban layout.
-
C.
Welcome
Welcome is a 2009 French drama film directed by Philippe Lioret, known for its poignant portrayal of an Iraqi Kurdish refugee in Calais who trains to swim the English Channel.
-
D.
Welcome
Welcome is an unincorporated rural community located in Coweta County, Georgia, United States.
-
E.
Welcome
"Welcome" is a 1973 jazz fusion–oriented studio album by the Latin rock band Santana, noted for its spiritual themes and experimental, progressive sound.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ae05cd988190a013226b14cd98f0 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55416e48190b574e37a6f2e6690 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d6acc2208190ac47c60bb896c1cd |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d83b53e48190881a3e1e8fa8b168 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.