Triple
T38387997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Snow is Dancing |
E899631
|
entity |
| Predicate | catalogueNumberOfSuite |
P191628
|
FINISHED |
| Object |
L. 113
L. 113 is the catalogue number assigned to Claude Debussy’s solo piano suite "Children’s Corner," which includes the piece "The Snow is Dancing."
|
E2268129
|
NE FINISHED |
How this triple was built (3 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: L. 113 | Statement: [The Snow is Dancing, catalogueNumberOfSuite, L. 113]
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: L. 113 Triple: [The Snow is Dancing, catalogueNumberOfSuite, L. 113]
Generated description
L. 113 is the catalogue number assigned to Claude Debussy’s solo piano suite "Children’s Corner," which includes the piece "The Snow is Dancing."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogueNumberOfSuite Context triple: [The Snow is Dancing, catalogueNumberOfSuite, L. 113]
-
A.
numberOfSuites
Indicates the total count of suites associated with or contained within a given entity.
-
B.
numberOfLuxurySuites
Indicates the total count of luxury suites associated with a given entity.
-
C.
hasNumberOfEnceintes
Indicates the relationship that specifies how many defensive walls or enclosing fortification layers an entity possesses.
-
D.
hasNumberOfCouches
Indicates the quantity of couches associated with a given entity.
-
E.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
- F. None of above. chosen
Provenance (7 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41b2acf9f08190a8334729b9df8665 |
completed | June 28, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a41b3ce800c8190868c4c9ad51282bd |
completed | June 28, 2026, 11:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41b4ab67288190bf774036d4fe05e2 |
completed | June 28, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:31 p.m.