Triple
T14132644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 101 Dalmatians franchise |
E350206
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Jasper Badun |
E840743
|
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: Jasper Badun | Statement: [101 Dalmatians franchise, hasMainCharacter, Jasper Badun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jasper Badun Context triple: [101 Dalmatians franchise, hasMainCharacter, Jasper Badun]
-
A.
Jasper Badun
chosen
Jasper Badun is a bumbling yet crafty henchman character from Disney’s "101 Dalmatians" franchise, known as one of Cruella de Vil’s dog-napping accomplices.
-
B.
Andre Royo
Andre Royo is an American actor best known for his role as Reginald "Bubbles" Cousins on the acclaimed television series "The Wire."
-
C.
Jason Miyares
Jason Miyares is an American attorney and Republican politician who serves as the Attorney General of Virginia.
-
D.
Jude Farese
Jude Farese is an actor known for appearing in the 1982 comedy film "Lookin' to Get Out."
-
E.
Jesse Andrews
Jesse Andrews is an American novelist and screenwriter best known for writing the young adult novel "Me and Earl and the Dying Girl" and co-writing its film adaptation.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610cece88190b4a86500677e5938 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf1288b48190a382732fac13aaf7 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 11:28 p.m.