Triple
T15957992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can’t We Be Friends? |
E386983
|
entity |
| Predicate | vocalInteractionStyle |
P9331
|
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: [Can’t We Be Friends?, vocalInteractionStyle, call and response]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalInteractionStyle Context triple: [Can’t We Be Friends?, vocalInteractionStyle, call and response]
-
A.
vocalizationMethod
chosen
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
B.
artisticVocalStyle
Indicates a relationship where an entity’s vocal performance is characterized by a particular artistic style or expressive manner of singing or speaking.
-
C.
hasVocalStyleComparedTo
Indicates a comparison between entities based on the similarity or resemblance of their vocal style.
-
D.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
-
E.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.