Triple
T23442638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H. Jon Benjamin as Bob Belcher |
E565443
|
entity |
| Predicate | voiceActingStyle |
P90822
|
FINISHED |
| Object | lowKeyDelivery |
—
|
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: lowKeyDelivery | Statement: [H. Jon Benjamin as Bob Belcher, voiceActingStyle, lowKeyDelivery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voiceActingStyle Context triple: [H. Jon Benjamin as Bob Belcher, voiceActingStyle, lowKeyDelivery]
-
A.
voiceActingType
chosen
Indicates the specific style or category of voice performance used in an audio-visual work or production.
-
B.
voiceAppearance
Indicates that one entity’s voice is present, heard, or featured in association with another entity (such as a work, scene, or medium).
-
C.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
D.
voiceActingLanguage
Indicates the language in which a voice acting performance is delivered.
-
E.
voiceActingChange
Indicates that the voice actor associated with an entity has been changed from one performer to another.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64654e88190b530958b27b32412 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:51 p.m.