Triple
T37255275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu |
E924108
|
entity |
| Predicate | languageOfVocalEffects |
P203426
|
FINISHED |
| Object | nonsense vocalizations |
—
|
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: nonsense vocalizations | Statement: [Abu, languageOfVocalEffects, nonsense vocalizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfVocalEffects Context triple: [Abu, languageOfVocalEffects, nonsense vocalizations]
-
A.
languageOfVocalization
Indicates the language in which a vocalization (such as speech or singing) is produced.
-
B.
vocalEffects
Indicates that one entity applies or produces specific modifications, enhancements, or stylistic effects on another entity’s vocal sound or performance.
-
C.
vocalVersionLanguage
Indicates the language in which the vocal performance or sung lyrics of a work are expressed.
-
D.
hasVocalLanguageMix
Indicates that an entity’s vocal communication combines multiple languages or language varieties within its speech.
-
E.
voicedInLanguage
Indicates that an entity produces spoken or vocal output using a specified language.
- F. None of above. chosen
Provenance (4 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a017a360f088190acd5933aa353e763 |
completed | May 11, 2026, 6:41 a.m. |
| PD | Predicate disambiguation | batch_6a0179d3f78c8190b1d2e8829619fa54 |
completed | May 11, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_6a017a354d648190b036e9dad3211857 |
completed | May 11, 2026, 6:41 a.m. |
Created at: May 3, 2026, 4:15 p.m.