Triple
T29010259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnaval |
E736542
|
entity |
| Predicate | hasMusicalCryptogram |
P177137
|
FINISHED |
| Object |
A–S–C–H
A–S–C–H is a musical cryptogram motif derived from the letters of the town Asch, famously used by Robert Schumann as a unifying thematic device in several of his works.
|
E1846291
|
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: A–S–C–H | Statement: [Carnaval, hasMusicalCryptogram, A–S–C–H]
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: A–S–C–H Triple: [Carnaval, hasMusicalCryptogram, A–S–C–H]
Generated description
A–S–C–H is a musical cryptogram motif derived from the letters of the town Asch, famously used by Robert Schumann as a unifying thematic device in several of his works.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalCryptogram Context triple: [Carnaval, hasMusicalCryptogram, A–S–C–H]
-
A.
usesMusicalCipher
chosen
Indicates that one entity encodes or decodes information using a musical cipher system based on musical notes or structures.
-
B.
hasMusicalNumberIn
Indicates that a musical number (song or performance) appears within or is featured in a specific work, scene, or production.
-
C.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
D.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
E.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
- F. None of above.
Provenance (6 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_69f077eb81e88190ad9ff62cbb9f555e |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2505c94aa4819084dc5d2ef4d9ca26 |
completed | June 7, 2026, 5:46 a.m. |
| NEDg | Description generation | batch_6a250a0727108190bc085f034870e22e |
completed | June 7, 2026, 6:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a250f52bc788190a19327674f832883 |
completed | June 7, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 28, 2026, 9:41 a.m.