Triple
T38387985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Snow is Dancing |
E899631
|
entity |
| Predicate | dedicatedWithinSuiteTo |
P190826
|
FINISHED |
| Object | Claude-Emma Debussy |
—
|
NE NERFINISHED |
How this triple was built (2 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: Claude-Emma Debussy | Statement: [The Snow is Dancing, dedicatedWithinSuiteTo, Claude-Emma Debussy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicatedWithinSuiteTo Context triple: [The Snow is Dancing, dedicatedWithinSuiteTo, Claude-Emma Debussy]
-
A.
dedicatedAsPartOfSuiteTo
Indicates that something has been formally designated or assigned to belong to and function as a component of a larger suite.
-
B.
partOfSuite
Indicates that one item is a component or module belonging to a larger suite or collection.
-
C.
alsoInSuiteWith
Indicates that one entity is part of the same suite, set, or grouped collection as another entity.
-
D.
sampleSuite
Indicates that an entity is part of, associated with, or belongs to a particular sample suite (a grouped set of related samples or tests).
-
E.
suiteRole
Indicates the role or function an entity holds within a particular suite, collection, or grouped set of related items.
- F. None of above. chosen
Provenance (4 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_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:31 p.m.