Triple
T20434993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All or Nothing at All |
E501227
|
entity |
| Predicate | hasKeyVariants |
P140125
|
FINISHED |
| Object | B-flat major |
—
|
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: B-flat major | Statement: [All or Nothing at All, hasKeyVariants, B-flat major]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyVariants Context triple: [All or Nothing at All, hasKeyVariants, B-flat major]
-
A.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
B.
hasVariantsIn
Indicates that an entity exists in multiple alternative forms or versions within a specified context or set.
-
C.
hasKeyExportVariety
Indicates that an entity has a primary or most important variety specifically intended for export.
-
D.
hasVariantText
Indicates that an entity is associated with an alternative or differing textual form of its content.
-
E.
hasVariantFamily
Indicates that one entity is related to another as a different version, type, or family variant of it.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ee758c8190b267b7ce71de8f8c |
completed | April 20, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:31 a.m.