Triple
T17909728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rigby |
E447788
|
entity |
| Predicate | voiceActedBy |
P39669
|
FINISHED |
| Object | William Salyers |
—
|
NE NERFINISHED |
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: William Salyers | Statement: [Rigby, voiceActedBy, William Salyers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Salyers Context triple: [Rigby, voiceActedBy, William Salyers]
-
A.
William Salyers
chosen
William Salyers is an American voice actor best known for voicing Rigby on the animated television series "Regular Show."
-
B.
Charles Gross
Charles Gross is an American composer best known for his film and television scores, including the soundtrack for the comedy film "Turner & Hooch."
-
C.
Paul S. Morton
Paul S. Morton is an American Baptist pastor, gospel singer, and founding bishop of the Full Gospel Baptist Church Fellowship.
-
D.
Paul A. Suttell
Paul A. Suttell is an American jurist who serves as the Chief Justice of the Rhode Island Supreme Court.
-
E.
Douglas J. Foskett
Douglas J. Foskett was a British librarian and information scientist known for his influential work in library classification and information retrieval.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9f4f888190840c8b55672becf8 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.