Triple
T38138074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canticle |
E952402
|
entity |
| Predicate | hasTempoRelation |
P198252
|
FINISHED |
| Object | similar tempo to Scarborough Fair main melody |
—
|
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: similar tempo to Scarborough Fair main melody | Statement: [Canticle, hasTempoRelation, similar tempo to Scarborough Fair main melody]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTempoRelation Context triple: [Canticle, hasTempoRelation, similar tempo to Scarborough Fair main melody]
-
A.
hasTempoChanges
Indicates that the tempo of the piece or segment changes over its duration, rather than remaining constant.
-
B.
hasTempoCategory
Indicates that something is associated with a particular tempo classification or speed category.
-
C.
hasTempoOrientation
Indicates that one entity is characterized by a particular temporal direction or alignment (such as past-, present-, or future-oriented) in relation to another entity or context.
-
D.
hasTempoRelativeToOriginal
Indicates that one entity’s tempo is defined or measured in relation to the tempo of an original reference version.
-
E.
hasTempoVariety
Indicates that an entity exhibits variation or changes in tempo rather than maintaining a constant speed.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fed48d8e148190a99c0aea29f8a3ee |
completed | May 9, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fed3c82a24819095e614e31ac0307f |
completed | May 9, 2026, 6:27 a.m. |
| PDg | Predicate description generation | batch_69fed48c92ec8190b3be88880d86de86 |
completed | May 9, 2026, 6:30 a.m. |
Created at: May 3, 2026, 4:21 p.m.