Triple
T6041011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kermit |
E134542
|
entity |
| Predicate | isMostFamouslyAssociatedWith |
P1481
|
FINISHED |
| Object | Kermit the Frog |
E134542
|
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: Kermit the Frog | Statement: [Kermit, isMostFamouslyAssociatedWith, Kermit the Frog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kermit the Frog Context triple: [Kermit, isMostFamouslyAssociatedWith, Kermit the Frog]
-
A.
Kermit
chosen
Kermit is a masculine given name most famously associated with the Muppet frog character created by Jim Henson.
-
B.
Kermit Tyler
Kermit Tyler was a U.S. Army Air Forces officer best known for his controversial role as a radar officer during the Pearl Harbor attack on December 7, 1941.
-
C.
Kermit Maynard
Kermit Maynard was an American actor and stuntman best known for his roles in Western films during the 1930s and 1940s.
-
D.
Kermit Bloomgarden
Kermit Bloomgarden was a prominent American theatrical producer best known for staging major mid-20th-century Broadway plays and musicals, including works by Arthur Miller.
-
E.
Kermit Zarley
Kermit Zarley is a former American professional golfer best known for his long PGA Tour career and later work as a Christian author.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056cf82d481909d5161fe3643e7ed |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518ccee748190a0e292bc18b552f8 |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:08 p.m.