Triple
T6040994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kermit |
E134542
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Kermit Bloomgarden |
E9881
|
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 Bloomgarden | Statement: [Kermit, hasNotableBearer, Kermit Bloomgarden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kermit Bloomgarden Context triple: [Kermit, hasNotableBearer, Kermit Bloomgarden]
-
A.
Kermit Bloomgarden
chosen
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.
-
B.
Kermit Maynard
Kermit Maynard was an American actor and stuntman best known for his roles in Western films during the 1930s and 1940s.
-
C.
Kermit
Kermit is a masculine given name most famously associated with the Muppet frog character created by Jim Henson.
-
D.
Kermit Erasmus
Kermit Erasmus is a South African professional soccer player known as a forward who has played for clubs in South Africa and Europe as well as the national team.
-
E.
Kermit Wahl
Kermit Wahl was an American professional baseball infielder who played in Major League Baseball in the late 1940s and early 1950s.
- 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_69c11cfbb4cc81909736d5d041dd0b23 |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:08 p.m.