Triple
T12120220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henery Hawk |
E288673
|
entity |
| Predicate | voicedBy |
P2181
|
FINISHED |
| Object | Bob Bergen |
E269748
|
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: Bob Bergen | Statement: [Henery Hawk, voicedBy, Bob Bergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Bergen Context triple: [Henery Hawk, voicedBy, Bob Bergen]
-
A.
Bob Bergen
chosen
Bob Bergen is an American voice actor best known for voicing classic Looney Tunes characters, including Porky Pig and Marvin the Martian.
-
B.
Robert Bergen
Robert Bergen is an American voice actor best known for voicing Porky Pig in Looney Tunes and numerous characters in animation and video games.
-
C.
Jon Bokenkamp
Jon Bokenkamp is an American screenwriter and producer best known for creating the television series "The Blacklist" and writing several thriller films.
-
D.
Bob Peterson
Bob Peterson is an American animator, screenwriter, and voice actor at Pixar best known for co-directing "Up" and voicing characters such as Dug the dog.
-
E.
Steve Shagan
Steve Shagan was an American novelist, screenwriter, and producer best known for his Academy Award–nominated work on socially conscious films of the 1970s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91577a03c81909add7a5d7324a648 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f684172c81908b77daa243dc8ed8 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.