Triple

T19479244
Position Surface form Disambiguated ID Type / Status
Subject Frank Cuprien E487333 entity
Predicate familyName P18 FINISHED
Object Cuprien
Cuprien is a surname most notably associated with Frank Cuprien, an American painter known for his marine and landscape works in early 20th-century California.
 E1378672 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: Cuprien | Statement: [Frank Cuprien, familyName, Cuprien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cuprien
Context triple: [Frank Cuprien, familyName, Cuprien]
  • A. Cupello
    Cupello is a small Italian town located in the Abruzzo region, known for its agricultural traditions and scenic position near the Adriatic coast.
  • B. Calsan
    Calsan is a character from Terry Mancour’s Spellmonger fantasy series, known for his role within the magically charged, war-torn world of Callidore.
  • C. Silandro
    Silandro is a small town in South Tyrol, northern Italy, known as an administrative and cultural center of the Val Venosta region.
  • D. Darphin
    Darphin is a French luxury skincare brand renowned for its botanically based, spa-inspired treatments and high-performance serums.
  • E. Oetari
    Oetari was the first wife of Sukarno (born Kusno Sosrodihardjo), Indonesia’s future first president.
  • 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: Cuprien
Triple: [Frank Cuprien, familyName, Cuprien]
Generated description
Cuprien is a surname most notably associated with Frank Cuprien, an American painter known for his marine and landscape works in early 20th-century California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cuprien
Target entity description: Cuprien is a surname most notably associated with Frank Cuprien, an American painter known for his marine and landscape works in early 20th-century California.
  • A. Cupello
    Cupello is a small Italian town located in the Abruzzo region, known for its agricultural traditions and scenic position near the Adriatic coast.
  • B. Calsan
    Calsan is a character from Terry Mancour’s Spellmonger fantasy series, known for his role within the magically charged, war-torn world of Callidore.
  • C. Silandro
    Silandro is a small town in South Tyrol, northern Italy, known as an administrative and cultural center of the Val Venosta region.
  • D. Darphin
    Darphin is a French luxury skincare brand renowned for its botanically based, spa-inspired treatments and high-performance serums.
  • E. Oetari
    Oetari was the first wife of Sukarno (born Kusno Sosrodihardjo), Indonesia’s future first president.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63437b9748190a8fc6bf6b3d90918 completed April 20, 2026, 2:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074055c19c81909fa5d7be42b24de8 completed May 15, 2026, 3:48 p.m.
NEDg Description generation batch_6a07420720f881908010cdc7a140eed9 completed May 15, 2026, 3:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0742f860948190a8619dce3e1461b8 completed May 15, 2026, 3:59 p.m.
Created at: April 10, 2026, 1:39 p.m.