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.