Triple
T22537009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Red |
E557181
|
entity |
| Predicate | isFrequentlySampledIn |
P57982
|
FINISHED |
| Object | hip hop |
—
|
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: hip hop | Statement: [Long Red, isFrequentlySampledIn, hip hop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlySampledIn Context triple: [Long Red, isFrequentlySampledIn, hip hop]
-
A.
isFrequentlyRecorded
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
-
B.
isFrequentlyIncludedIn
Indicates that something is regularly or commonly contained or made part of something else.
-
C.
hasBeenSampledIn
chosen
Indicates that an entity has been selected or taken as a sample within a specified context, location, or dataset.
-
D.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
-
E.
hasSampling
Indicates that one entity performs, involves, or is associated with the act or process of sampling in relation to another entity.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15edbd1ec81908ef26b9e442d1921 |
completed | April 29, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.