Triple
T20164242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Wheezer |
E491787
|
entity |
| Predicate | hasParent |
P120
|
FINISHED |
| Object | Mr. Wheezer |
—
|
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: Mr. Wheezer | Statement: [Carl Wheezer, hasParent, Mr. Wheezer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Wheezer Context triple: [Carl Wheezer, hasParent, Mr. Wheezer]
-
A.
Carl Wheezer
chosen
Carl Wheezer is a timid, allergy-prone boy and one of Jimmy Neutron’s best friends in the animated series "The Adventures of Jimmy Neutron: Boy Genius."
-
B.
Billy Williamson
Billy Williamson was an American musician best known as the steel guitarist for the pioneering rock and roll band Bill Haley & His Comets.
-
C.
Mr. Eddy
Mr. Eddy is a violent, intimidating gangster figure in David Lynch’s film "Lost Highway," known for his explosive temper and menacing presence.
-
D.
Jonah Bobo
Jonah Bobo is an American actor best known for his childhood roles in films like "Zathura: A Space Adventure" and for voicing the main character in the animated series "The Backyardigans."
-
E.
Weebo
Weebo is the quirky, floating robot assistant from Disney’s 1997 film "Flubber," known for its expressive personality and multimedia projections.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684376408190a68890ab48fa5424 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.