Triple
T18421156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainy Day, Dream Away |
E442024
|
entity |
| Predicate | hasCallAndResponseStyle |
P22739
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rainy Day, Dream Away, hasCallAndResponseStyle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCallAndResponseStyle Context triple: [Rainy Day, Dream Away, hasCallAndResponseStyle, true]
-
A.
hasCallAndResponseStructure
chosen
Indicates that one element initiates a call and another element provides a corresponding response, forming a paired, back-and-forth structural pattern.
-
B.
hasCall
Indicates that one entity initiates or participates in a telephone or voice communication with another entity.
-
C.
hasCallAndResponseVocals
Indicates that one entity produces vocalizations that are followed by corresponding or answering vocalizations from another entity.
-
D.
featuresCallAndResponse
Indicates that one entity includes or exhibits a call-and-response interaction or structure involving another entity.
-
E.
callingStyle
Indicates the manner or convention by which one entity initiates or performs a call or invocation on 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2be6bc8190b2812f77ff4cc960 |
completed | April 19, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 10:47 a.m.