Triple
T23442539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H. Jon Benjamin |
E565441
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | H. Jon Benjamin |
—
|
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: H. Jon Benjamin | Statement: [H. Jon Benjamin, name, H. Jon Benjamin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H. Jon Benjamin Context triple: [H. Jon Benjamin, name, H. Jon Benjamin]
-
A.
H. Jon Benjamin
chosen
H. Jon Benjamin is an American comedian and voice actor best known for his distinctive deadpan delivery in animated series such as Bob's Burgers and Archer.
-
B.
Richard Schaal
Richard Schaal was an American character actor known for his work in television comedies such as "The Mary Tyler Moore Show" and "The Dick Van Dyke Show."
-
C.
Jeff Bennett
Jeff Bennett is an American voice actor known for his extensive work in animation, including numerous roles in popular Cartoon Network and Disney series.
-
D.
Brian Fee
Brian Fee is an American storyboard artist and film director best known for making his directorial debut with Pixar's animated feature "Cars 3."
-
E.
John Kassir
John Kassir is an American actor and comedian best known for voicing the Crypt Keeper in the HBO series "Tales from the Crypt."
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64654e88190b530958b27b32412 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.