Triple
T9907367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelo Maria Durini |
E185045
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Durini
Durini is an Italian surname historically associated with notable figures such as the 18th-century cardinal and diplomat Angelo Maria Durini.
|
E828115
|
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: Durini | Statement: [Angelo Maria Durini, familyName, Durini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durini Context triple: [Angelo Maria Durini, familyName, Durini]
-
A.
Durnan
Durnan is a surname most notably associated with Bill Durnan, a Hall of Fame Canadian ice hockey goaltender who starred for the Montreal Canadiens in the 1940s.
-
B.
Dromi
Dromi is a mythical chain in Norse mythology that was used in an early attempt to bind the monstrous wolf Fenrir.
-
C.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
D.
Duro
Duro is a music artist known for creating the track featured in the song "Glitter."
-
E.
Yoldia
Yoldia is a genus of marine bivalve mollusks known for their elongated shells and burrowing lifestyle in cold and temperate seas.
- 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: Durini Triple: [Angelo Maria Durini, familyName, Durini]
Generated description
Durini is an Italian surname historically associated with notable figures such as the 18th-century cardinal and diplomat Angelo Maria Durini.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Durini Target entity description: Durini is an Italian surname historically associated with notable figures such as the 18th-century cardinal and diplomat Angelo Maria Durini.
-
A.
Durnan
Durnan is a surname most notably associated with Bill Durnan, a Hall of Fame Canadian ice hockey goaltender who starred for the Montreal Canadiens in the 1940s.
-
B.
Dromi
Dromi is a mythical chain in Norse mythology that was used in an early attempt to bind the monstrous wolf Fenrir.
-
C.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
D.
Duro
Duro is a music artist known for creating the track featured in the song "Glitter."
-
E.
Yoldia
Yoldia is a genus of marine bivalve mollusks known for their elongated shells and burrowing lifestyle in cold and temperate seas.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50ec61481908f42bd2aa55d9a6e |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb346c7081908300e54cd639b027 |
completed | April 5, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69d1ecc024848190b64a87dd6fb22c0f |
completed | April 5, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ed8cc0b48190aee4d6ddec1921b4 |
completed | April 5, 2026, 5:05 a.m. |
Created at: March 30, 2026, 8:41 p.m.