Triple
T27666616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WMA |
E697243
|
entity |
| Predicate | losslessVariant |
P162929
|
FINISHED |
| Object | WMA Lossless |
—
|
NE NERFINISHED |
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: WMA Lossless | Statement: [WMA, losslessVariant, WMA Lossless]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: losslessVariant Context triple: [WMA, losslessVariant, WMA Lossless]
-
A.
continuityVariant
Indicates that one entity is an alternative or modified version of another within the same narrative or continuity.
-
B.
exportVariantOf
Indicates that one entity is an exported version or externally released form derived from another, original entity.
-
C.
variant
Indicates that one entity is an alternative form, version, or variation of another entity.
-
D.
optimizationVariant
Indicates that one entity is a specific version or alternative form of another entity created for optimization purposes.
-
E.
firstVariant
Indicates that the subject is the earliest or primary version among multiple variants of the same entity or item.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f634a401e08190b2144d47f1df15e0 |
completed | May 2, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f6305219f08190b55f6193a4a49984 |
completed | May 2, 2026, 5:11 p.m. |
Created at: April 27, 2026, 2:38 p.m.