Triple
T13420213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Fine Morning |
E313324
|
entity |
| Predicate | hasEnduringPopularityIn |
P57498
|
FINISHED |
| Object | classic rock radio |
—
|
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: classic rock radio | Statement: [One Fine Morning, hasEnduringPopularityIn, classic rock radio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnduringPopularityIn Context triple: [One Fine Morning, hasEnduringPopularityIn, classic rock radio]
-
A.
hasEnduringPopularityOn
chosen
Indicates that something continues to be widely liked, used, or appreciated on a particular platform, medium, or context over an extended period of time.
-
B.
hasEnduringPopCulturePresence
Indicates that the subject continues to appear in, influence, or be referenced within popular culture over an extended period of time.
-
C.
hasEnduringInfluence
Indicates that one entity continues to significantly affect, shape, or inform another entity or context over an extended period of time.
-
D.
isPopularAs
Indicates that an entity is widely liked, well-known, or favored in a particular role, context, or capacity.
-
E.
hasEnduringInfluenceOn
Indicates that one entity exerts a lasting, long-term impact on another entity’s state, development, or behavior.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb98e808190948013e8f24779c6 |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:39 p.m.