Triple
T8949313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Suchet |
E213302
|
entity |
| Predicate | hasVoiceWorkIn |
P18510
|
FINISHED |
| Object | audiobook narrations of the Bible |
—
|
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: audiobook narrations of the Bible | Statement: [David Suchet, hasVoiceWorkIn, audiobook narrations of the Bible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVoiceWorkIn Context triple: [David Suchet, hasVoiceWorkIn, audiobook narrations of the Bible]
-
A.
hasVoiceIn
Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
-
B.
hasVoices
Indicates that an entity possesses or includes one or more vocal parts, voice tracks, or spoken/sung voice elements.
-
C.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
D.
voiceWork
chosen
Indicates that one entity performs or contributes voice acting or vocal performance work for another entity or creative production.
-
E.
hasWorkedIn
Indicates that a person has been employed or has performed work within a particular organization, location, or domain for some period of time.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670b5f50819080f1c73992fe5281 |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed5267c8190a43feb2a2f3df1ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 6:59 p.m.