Triple
T2687206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foghorn Leghorn |
E57511
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Eric Bauza |
E278521
|
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: Eric Bauza | Statement: [Foghorn Leghorn, voiceActor, Eric Bauza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Bauza Context triple: [Foghorn Leghorn, voiceActor, Eric Bauza]
-
A.
Eric Bauza
chosen
Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
-
B.
Joel Murray
Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
-
C.
Tim Laudner
Tim Laudner is a former Major League Baseball catcher best known for his years with the Minnesota Twins, including their 1987 World Series championship team.
-
D.
Seth Gabel
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
-
E.
Bob Gunton
Bob Gunton is an American character actor best known for his portrayal of the strict prison warden Samuel Norton in the film "The Shawshank Redemption."
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f080108190ab662a3a064cb5a9 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8920e64819099074f019020bb59 |
completed | March 10, 2026, 9:46 a.m. |
Created at: March 6, 2026, 9:54 p.m.