Triple
T17908671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omnitrix |
E447765
|
entity |
| Predicate | canTransformUserInto |
P120301
|
FINISHED |
| Object | Wildmutt |
—
|
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: Wildmutt | Statement: [Omnitrix, canTransformUserInto, Wildmutt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wildmutt Context triple: [Omnitrix, canTransformUserInto, Wildmutt]
-
A.
Wildmutt
chosen
Wildmutt is a feral, dog-like alien from the Ben 10 franchise known for his powerful physical abilities and heightened senses despite being blind.
-
B.
Mongrel
"Mongrel" is a 1970 rock album by American singer-songwriter Bob Seger, showcasing his early, gritty heartland rock sound with the Bob Seger System.
-
C.
Monster Mutt
Monster Mutt is a popular dog-themed monster truck known for its floppy ears, wagging tail, and appearances in Monster Jam competitions.
-
D.
Angry Dogs
Angry Dogs is a quick-service food stand at Disney California Adventure’s Pixar Pier known for its spicy hot dogs themed to the character Anger from Pixar’s Inside Out.
-
E.
Mad Dog
Mad Dog is the vicious outlaw gunslinger and primary antagonist in the 1885 segment of the film "Back to the Future Part III."
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9e4c9881908bfc3a83809d6b85 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.