Triple
T13055584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngiculela – Es Una Historia – I Am Singing |
E327561
|
entity |
| Predicate | usesCallAndResponse |
P69676
|
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: [Ngiculela – Es Una Historia – I Am Singing, usesCallAndResponse, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCallAndResponse Context triple: [Ngiculela – Es Una Historia – I Am Singing, usesCallAndResponse, true]
-
A.
hasCallAndResponseStructure
Indicates that one element initiates a call and another element provides a corresponding response, forming a paired, back-and-forth structural pattern.
-
B.
featuresCallAndResponse
chosen
Indicates that one entity includes or exhibits a call-and-response interaction or structure involving another entity.
-
C.
hasCallAndResponseVocals
Indicates that one entity produces vocalizations that are followed by corresponding or answering vocalizations from another entity.
-
D.
hasCall
Indicates that one entity initiates or participates in a telephone or voice communication with another entity.
-
E.
canBeCalledTo
Indicates that one entity is able or permitted to initiate a call or summon 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:58 p.m.