Triple

T13568947
Position Surface form Disambiguated ID Type / Status
Subject Jean Genet E324108 entity
Predicate familyName P18 FINISHED
Object Genet
Genet is the surname of Jean Genet, the influential 20th-century French novelist, playwright, and poet known for his provocative explorations of crime, marginalization, and identity.
 E1049732 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: Genet | Statement: [Jean Genet, familyName, Genet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Genet
Context triple: [Jean Genet, familyName, Genet]
  • A. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • B. Geno
    Geno is a young male deer character from Disney's Bambi franchise, depicted as the son of Bambi and Faline.
  • C. Geno
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • D. Genetz
    Genetz is a Finnish surname most notably associated with Arvid Genetz, a 19th-century linguist, poet, and politician.
  • E. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • 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: Genet
Triple: [Jean Genet, familyName, Genet]
Generated description
Genet is the surname of Jean Genet, the influential 20th-century French novelist, playwright, and poet known for his provocative explorations of crime, marginalization, and identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Genet
Target entity description: Genet is the surname of Jean Genet, the influential 20th-century French novelist, playwright, and poet known for his provocative explorations of crime, marginalization, and identity.
  • A. Geneta
    Geneta is a residential district and suburb within Södertälje Municipality in Sweden.
  • B. Geno
    Geno is a young male deer character from Disney's Bambi franchise, depicted as the son of Bambi and Faline.
  • C. Geno
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • D. Genetz
    Genetz is a Finnish surname most notably associated with Arvid Genetz, a 19th-century linguist, poet, and politician.
  • E. Genn
    Genn is a surname most notably associated with British actor and barrister Leo Genn.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00e0188819094fde44f85adb69c completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bb3d77c8190a7af2ee7e9b6748a completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77640b5308190aaa50e8d5d871832 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f779178dc48190bb0de790de30d8b0 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:48 p.m.