Triple
T18937435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dot Warner |
E463284
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Wakko Warner |
—
|
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: Wakko Warner | Statement: [Dot Warner, sibling, Wakko Warner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wakko Warner Context triple: [Dot Warner, sibling, Wakko Warner]
-
A.
Wakko Warner
chosen
Wakko Warner is one of the three zany Warner siblings from the animated series "Animaniacs," known for his goofy personality, slapstick humor, and insatiable appetite.
-
B.
Yakko Warner
Yakko Warner is a fast-talking, wisecracking cartoon character from the animated series "Animaniacs," known as the eldest of the Warner siblings.
-
C.
Wally
Wally is a character from the comedy film "The Great Outdoors," known for his role in the movie’s humorous family vacation mishaps.
-
D.
Wally
Wally is a character featured in the educational children's series "Alphabetical Order," likely serving as a playful figure to help teach letters and literacy concepts.
-
E.
Wally
Wally is a common English diminutive given name, typically derived from names like Walter or Waldemar.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e8fdb48190ae70cb23c5bc2c97 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.