Triple
T38657272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K. 467 |
E939924
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Mozart Piano Concerto in C major, K. 467
Mozart’s Piano Concerto No. 21 in C major, K. 467, is one of his most celebrated concertos, renowned for its lyrical slow movement and frequent use in film and popular culture.
|
E2277330
|
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: Mozart Piano Concerto in C major, K. 467 | Statement: [K. 467, alsoKnownAs, Mozart Piano Concerto in C major, K. 467]
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: Mozart Piano Concerto in C major, K. 467 Triple: [K. 467, alsoKnownAs, Mozart Piano Concerto in C major, K. 467]
Generated description
Mozart’s Piano Concerto No. 21 in C major, K. 467, is one of his most celebrated concertos, renowned for its lyrical slow movement and frequent use in film and popular culture.
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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdbe9aa608190a646b88338cf52cc |
completed | May 7, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4205ba2228819085cf5961574213e2 |
completed | June 29, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_6a4206c5417481909b8911ba28f91bf5 |
completed | June 29, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a420754d65c8190910f5dfb5074fd3f |
completed | June 29, 2026, 5:49 a.m. |
Created at: May 3, 2026, 4:33 p.m.