Triple
T38139020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voices of Old People |
E952427
|
entity |
| Predicate | featuresVoicesOf |
—
|
GENERATED |
| Object | elderly people |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresVoicesOf Context triple: [Voices of Old People, featuresVoicesOf, elderly people]
-
A.
hasVoices
Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
-
B.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
C.
speakerFeatures
Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
-
D.
voiceCharacter
Indicates that one entity provides the voice for, or vocally portrays, a particular character in a work.
-
E.
voicedByAlsoKnownFor
Indicates that the person who voices a character is also notably recognized for another specific role or work.
- F. None of above. chosen
Provenance (1 batch)
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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.