Triple
T10235759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Dunham |
E243458
|
entity |
| Predicate | hasPuppetCharacter |
P92902
|
FINISHED |
| Object | Melvin the Superhero Guy |
E851551
|
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: Melvin the Superhero Guy | Statement: [Jeff Dunham, hasPuppetCharacter, Melvin the Superhero Guy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melvin the Superhero Guy Context triple: [Jeff Dunham, hasPuppetCharacter, Melvin the Superhero Guy]
-
A.
Melvin the Superhero Guy
chosen
Melvin the Superhero Guy is a comedic puppet character created and performed by ventriloquist Jeff Dunham, parodying an inept and awkward superhero.
-
B.
Melvin
Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
-
C.
Melvin
Melvin is a masculine given name of English origin commonly used in various English-speaking countries.
-
D.
Melvin
Melvin is the given first name of Mel Lastman, a prominent Canadian businessman and former longtime mayor of Toronto.
-
E.
Polka-Dot Man
Polka-Dot Man is a lesser-known, visually distinctive DC Comics supervillain-turned-antihero who gains bizarre powers from the multicolored dots on his costume.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4dfbfa26c8190b536655d33112ddf |
completed | April 7, 2026, 10:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c9c6524819094d42e948c96207e |
completed | April 9, 2026, 3:27 a.m. |
Created at: April 6, 2026, 11:22 a.m.