Triple
T32190587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kudrat |
E822227
|
entity |
| Predicate | hasMusicReputation |
P192926
|
FINISHED |
| Object | memorable music |
—
|
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: memorable music | Statement: [Kudrat, hasMusicReputation, memorable music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicReputation Context triple: [Kudrat, hasMusicReputation, memorable music]
-
A.
hasMusicPeriod
Indicates that something (such as a musical work, style, or composer) is associated with a specific historical music period or era.
-
B.
lyricalReputation
Indicates the degree to which an entity is recognized or regarded for its skill, quality, or impact in creating or performing lyrics.
-
C.
hasMixtapeReception
Indicates that an entity (typically a mixtape) has a particular critical or audience reception, such as reviews, ratings, or general response.
-
D.
hasSongwriterShowcaseReputation
Indicates that an entity is recognized or reputed for showcasing songwriters, such as through events, platforms, or programs highlighting their work.
-
E.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69fd328298ac8190b6bd5ded7dca270d |
completed | May 8, 2026, 12:46 a.m. |
Created at: May 1, 2026, 12:35 a.m.