Triple
T14411675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French horn |
E357341
|
entity |
| Predicate | transposition |
P73177
|
FINISHED |
| Object | sounds a perfect fifth lower than written (in F) |
—
|
LITERAL 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: sounds a perfect fifth lower than written (in F) | Statement: [French horn, transposition, sounds a perfect fifth lower than written (in F)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transposition Context triple: [French horn, transposition, sounds a perfect fifth lower than written (in F)]
-
A.
transition
Indicates a change of state or condition from one form, phase, or situation to another.
-
B.
transcription
Indicates the process by which genetic information in DNA is copied into RNA by RNA polymerase.
-
C.
requiresTranspositionBy
chosen
Indicates that one entity must be transposed or shifted (such as in position, order, or key) by another entity in order to be correctly interpreted or used.
-
D.
commutation
Indicates the legal action of reducing, altering, or substituting a previously imposed penalty or obligation, typically making it less severe while preserving the underlying judgment or relationship.
-
E.
transcribedAs
Indicates that one entity is a written or recorded representation of another entity’s content, typically converting it from one form (e.g., audio, handwriting) into text.
- F. None of above.
Provenance (3 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90c9b3448190aec1608836a5e913 |
completed | April 14, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69de2aa1b57881909a033eac8545c417 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:17 a.m.