Triple

T12242897
Position Surface form Disambiguated ID Type / Status
Subject La rondine E291778 entity
Predicate mainCharacter P1183 FINISHED
Object Prunier
Prunier is a poet and romantic figure in Giacomo Puccini’s opera *La rondine*, known for his idealistic views on love and art.
E972353 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: Prunier | Statement: [La rondine, mainCharacter, Prunier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prunier
Context triple: [La rondine, mainCharacter, Prunier]
  • A. Colombard
    Colombard is a white wine grape variety, originally from France, known for producing crisp, fruity wines and often used in blends and brandy production.
  • B. Aligoté
    Aligoté is a white grape variety from Burgundy known for producing light, crisp, and high-acid wines often enjoyed young.
  • C. Vignon
    Vignon is a French surname associated with several notable figures, including architects, artists, and writers.
  • D. Confignon
    Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
  • E. Carignan
    Carignan is a red wine grape variety traditionally associated with southern France and Spain, known for producing deeply colored, tannic wines often used in blends.
  • 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: Prunier
Triple: [La rondine, mainCharacter, Prunier]
Generated description
Prunier is a poet and romantic figure in Giacomo Puccini’s opera *La rondine*, known for his idealistic views on love and art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prunier
Target entity description: Prunier is a poet and romantic figure in Giacomo Puccini’s opera *La rondine*, known for his idealistic views on love and art.
  • A. Colombard
    Colombard is a white wine grape variety, originally from France, known for producing crisp, fruity wines and often used in blends and brandy production.
  • B. Aligoté
    Aligoté is a white grape variety from Burgundy known for producing light, crisp, and high-acid wines often enjoyed young.
  • C. Vignon
    Vignon is a French surname associated with several notable figures, including architects, artists, and writers.
  • D. Confignon
    Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
  • E. Carignan
    Carignan is a red wine grape variety traditionally associated with southern France and Spain, known for producing deeply colored, tannic wines often used in blends.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb724448190be29fc1d2b946ab7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab5a404819089f9ea868deda10c completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60c6211448190af411f1b6f42c4b6 completed May 2, 2026, 2:38 p.m.
NED2 Entity disambiguation (via description) batch_69f60d1429f08190b7f3f053044f5a9e completed May 2, 2026, 2:41 p.m.
Created at: April 8, 2026, 9:51 p.m.