Triple
T14730614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Muppet Caper |
E346060
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Fozzie Bear |
E326081
|
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: Fozzie Bear | Statement: [The Great Muppet Caper, featuresCharacter, Fozzie Bear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fozzie Bear Context triple: [The Great Muppet Caper, featuresCharacter, Fozzie Bear]
-
A.
Fozzie Bear
chosen
Fozzie Bear is a lovable, joke-telling bear from The Muppets known for his corny humor and signature catchphrase, "Wocka wocka!"
-
B.
Yogi Bear
Yogi Bear is a classic animated cartoon character known as a mischievous, picnic-basket-stealing bear from Jellystone Park.
-
C.
Krusty the Clown
Krusty the Clown is a cynical, hard-living television clown and recurring character from the animated series "The Simpsons."
-
D.
Magilla Gorilla
Magilla Gorilla is a classic Hanna-Barbera animated television character, a lovable but trouble-prone gorilla often featured in comedic situations involving his attempts to find a permanent home.
-
E.
Kermit
Kermit is a masculine given name most famously associated with the Muppet frog character created by Jim Henson.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26311c8819093a81ff0fa43b33b |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe388792688190b1b6eaa8091733fb |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:29 a.m.