Triple
T11018850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Préludes (Book I) |
E260433
|
entity |
| Predicate | containsWork |
P2011
|
FINISHED |
| Object |
Voiles
"Voiles" is a piano prelude by Claude Debussy, noted for its impressionistic harmonies and ambiguous, atmospheric character.
|
E899615
|
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: Voiles | Statement: [Préludes (Book I), containsWork, Voiles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voiles Context triple: [Préludes (Book I), containsWork, Voiles]
-
A.
Seabreeze
Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
-
B.
Segel
Segel is the surname of American actor, comedian, and screenwriter Jason Segel, known for his roles in "How I Met Your Mother" and various Judd Apatow–produced films.
-
C.
Wind of the Sea
Wind of the Sea is the English translation of the Welsh name "Gwynt y Môr," used for one of the world’s larger offshore wind farms located off the coast of North Wales.
-
D.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
-
E.
L’Azur
L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
- 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: Voiles Triple: [Préludes (Book I), containsWork, Voiles]
Generated description
"Voiles" is a piano prelude by Claude Debussy, noted for its impressionistic harmonies and ambiguous, atmospheric character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Voiles Target entity description: "Voiles" is a piano prelude by Claude Debussy, noted for its impressionistic harmonies and ambiguous, atmospheric character.
-
A.
Seabreeze
Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
-
B.
Segel
Segel is the surname of American actor, comedian, and screenwriter Jason Segel, known for his roles in "How I Met Your Mother" and various Judd Apatow–produced films.
-
C.
Wind of the Sea
Wind of the Sea is the English translation of the Welsh name "Gwynt y Môr," used for one of the world’s larger offshore wind farms located off the coast of North Wales.
-
D.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
-
E.
L’Azur
L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a9e8788190a0f45b52bad1bfb5 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374e550508190aa3779191196f329 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.