Triple
T37300163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Vander Pyl |
E925917
|
entity |
| Predicate | notableVoiceStudio |
P65968
|
FINISHED |
| Object | Hanna-Barbera soundstages |
E55363
|
NE 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: Hanna-Barbera soundstages | Statement: [Jean Vander Pyl, notableVoiceStudio, Hanna-Barbera soundstages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableVoiceStudio Context triple: [Jean Vander Pyl, notableVoiceStudio, Hanna-Barbera soundstages]
-
A.
notableStudio
chosen
Indicates that an entity is a studio (e.g., film, music, game, or animation studio) that is especially prominent, influential, or widely recognized in relation to the subject entity.
-
B.
notableVoiceActor
Indicates that one entity is a voice actor who is especially prominent or well-known for their work on the other entity.
-
C.
notableCharacterVoiced
Indicates that a notable character is voiced or performed by a specific voice actor or performer.
-
D.
voiceline
Indicates that one entity is an audio line or spoken phrase associated with another entity, such as a character, event, or situation.
-
E.
hasVoices
Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
- F. None of above.
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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40638b0704819088facbbace0ca439 |
completed | June 27, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.