Triple
T1249624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Little Angel |
E26843
|
entity |
| Predicate | associatedWithVocalStyle |
P13181
|
FINISHED |
| Object | call and response |
—
|
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: call and response | Statement: [Sweet Little Angel, associatedWithVocalStyle, call and response]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithVocalStyle Context triple: [Sweet Little Angel, associatedWithVocalStyle, call and response]
-
A.
featuresVocalist
Indicates that one entity (such as a song, track, or performance) includes another entity serving as a vocalist or featured singer.
-
B.
vocalizationMethod
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
C.
vocalRange
Indicates the span of pitches or notes that an entity (such as a singer or instrument) is capable of producing.
-
D.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
E.
hasSongStyle
chosen
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf83b32c81908648e5748b897247 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.