Triple
T26944907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Studio Chorus |
E678609
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sleeping Beauty (1959 film soundtrack)
Sleeping Beauty (1959 film soundtrack) is the orchestral and choral score to Disney’s animated fairy-tale film, renowned for its adaptation of Tchaikovsky’s ballet music and performances by the Disney Studio Chorus.
|
E44753
|
NE FINISHED |
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: Sleeping Beauty (1959 film soundtrack) | Statement: [Disney Studio Chorus, notableWork, Sleeping Beauty (1959 film soundtrack)]
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: Sleeping Beauty (1959 film soundtrack) Triple: [Disney Studio Chorus, notableWork, Sleeping Beauty (1959 film soundtrack)]
Generated description
Sleeping Beauty (1959 film soundtrack) is the orchestral and choral score to Disney’s animated fairy-tale film, renowned for its adaptation of Tchaikovsky’s ballet music and performances by the Disney Studio Chorus.
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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62083b4288190987cccbed3892ef9 |
completed | May 2, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a121eca854c8190a9b87bbb5132a925 |
completed | May 23, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_6a12208403ac8190a405cbe0a245ab4a |
completed | May 23, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12210f8ae881908b5f0a9fceb7bcf7 |
completed | May 23, 2026, 9:50 p.m. |
Created at: April 27, 2026, 6:20 a.m.