Triple
T14580838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin |
E342186
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Beniamino
Beniamino is the Italian form of the given name Benjamin, commonly used in Italy and among Italian speakers.
|
E1116558
|
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: Beniamino | Statement: [Benjamin, hasVariant, Beniamino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beniamino Context triple: [Benjamin, hasVariant, Beniamino]
-
A.
Gaetano
Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
-
B.
Giuseppe
Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
-
C.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
-
D.
Pietro
Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
-
E.
Enrico
Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
- 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: Beniamino Triple: [Benjamin, hasVariant, Beniamino]
Generated description
Beniamino is the Italian form of the given name Benjamin, commonly used in Italy and among Italian speakers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beniamino Target entity description: Beniamino is the Italian form of the given name Benjamin, commonly used in Italy and among Italian speakers.
-
A.
Gaetano
Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
-
B.
Giuseppe
Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
-
C.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
-
D.
Pietro
Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
-
E.
Enrico
Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb41e71748190a1deacc819dd26d3 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb76fb58819088e5a0101143a401 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfe0cb9348190bbdadac6343b29c2 |
completed | May 8, 2026, 3:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdfec4428c81909bf3dac434700a40 |
completed | May 8, 2026, 3:18 p.m. |
Created at: April 10, 2026, 1:24 a.m.