Triple
T10353698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Jones |
E243943
|
entity |
| Predicate | directedCharacter |
P7373
|
FINISHED |
| Object | Pepé Le Pew |
E58859
|
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: Pepé Le Pew | Statement: [Chuck Jones, directedCharacter, Pepé Le Pew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pepé Le Pew Context triple: [Chuck Jones, directedCharacter, Pepé Le Pew]
-
A.
Pepé Le Pew
chosen
Pepé Le Pew is a romantic, overly confident skunk from the Looney Tunes cartoons, best known for his comedic, French-accented pursuit of love.
-
B.
McFogg the Dog
McFogg the Dog is the costumed canine mascot of Simon Fraser University, representing the school's spirit and athletic teams.
-
C.
Ferdie Mouse
Ferdie Mouse is a Disney character, one of Mickey Mouse’s young nephews who lives in Mouseton and often appears in comics and animated stories.
-
D.
Cliff Hare
Cliff Hare was an influential Auburn University figure and longtime trustee whose contributions to the school's athletics led to his name being honored on Jordan–Hare Stadium.
-
E.
Buggsy
Buggsy is the nickname of Martin "Buggsy" Goldstein, an American mobster associated with organized crime in the early 20th century.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fb99ef088190b64661b2f42c320e |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7509c50d48190a567d9613a062efc |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:58 a.m.