Triple
T32351948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soul Train Lady of Soul Award for Best R&B/Soul Album – Group, Band or Duo |
E826625
|
entity |
| Predicate | awardMediumFormat |
P21835
|
FINISHED |
| Object | studio album |
—
|
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: studio album | Statement: [Soul Train Lady of Soul Award for Best R&B/Soul Album – Group, Band or Duo, awardMediumFormat, studio album]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardMediumFormat Context triple: [Soul Train Lady of Soul Award for Best R&B/Soul Album – Group, Band or Duo, awardMediumFormat, studio album]
-
A.
awardMedium
Indicates the medium or format through which an award is given, presented, or communicated.
-
B.
awardForm
Indicates that one entity is the specific form, type, or category of an award associated with another entity.
-
C.
hasAwardMedium
chosen
Indicates that an award is associated with a particular medium or format through which it is given or recognized.
-
D.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
E.
awardShape
Indicates the geometric form or outline that characterizes an award.
- 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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 1, 2026, 12:49 a.m.