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.