Triple
T38648146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1440: The Smooth and the Striated |
E938771
|
entity |
| Predicate | usesExampleDomain |
P191652
|
FINISHED |
| Object | 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: music | Statement: [1440: The Smooth and the Striated, usesExampleDomain, music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesExampleDomain Context triple: [1440: The Smooth and the Striated, usesExampleDomain, music]
-
A.
exampleDomain
Indicates a general or illustrative relationship used as a placeholder within a specific conceptual or application domain.
-
B.
usedInDomain
Indicates that something (such as a concept, method, or resource) is applied or utilized within a particular domain or field.
-
C.
usesDomainSuffix
Indicates that one entity employs or relies on a specific domain suffix (e.g., in URLs or identifiers) associated with another entity.
-
D.
publicDomain
Indicates that a work or resource is not protected by intellectual property rights and is freely available for anyone to use, copy, modify, and distribute without restriction.
-
E.
usedAsExampleIn
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce54532948190a5cfacfe18e09322 |
completed | May 7, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:32 p.m.