Triple
T6040999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kermit |
E134542
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
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.
|
E575943
|
NE FINISHED |
How this triple was built (4 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 Zarley | Statement: [Kermit, hasNotableBearer, Kermit Zarley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kermit Zarley Context triple: [Kermit, hasNotableBearer, Kermit Zarley]
-
A.
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.
-
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 Poling
Kermit Poling is an American composer, conductor, and violinist known for his work with regional orchestras and for composing music for ballet, film, and television.
-
D.
Kermit
Kermit is a masculine given name most famously associated with the Muppet frog character created by Jim Henson.
-
E.
Kermit Beahan
Kermit Beahan was a United States Army Air Forces bombardier best known for dropping the atomic bomb on Nagasaki during World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kermit Zarley Triple: [Kermit, hasNotableBearer, Kermit Zarley]
Generated description
Kermit Zarley is a former American professional golfer best known for his long PGA Tour career and later work as a Christian author.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kermit Zarley Target entity description: Kermit Zarley is a former American professional golfer best known for his long PGA Tour career and later work as a Christian author.
-
A.
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.
-
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 Poling
Kermit Poling is an American composer, conductor, and violinist known for his work with regional orchestras and for composing music for ballet, film, and television.
-
D.
Kermit
Kermit is a masculine given name most famously associated with the Muppet frog character created by Jim Henson.
-
E.
Kermit Beahan
Kermit Beahan was a United States Army Air Forces bombardier best known for dropping the atomic bomb on Nagasaki during World War II.
- F. None of above. chosen
Provenance (5 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_69c16ea1595c8190926a5ed8d230ab4a |
completed | March 23, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69c1c533f43881908d57b75237f3c827 |
completed | March 23, 2026, 10:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1c59ef9b0819091b05cd30c07d918 |
completed | March 23, 2026, 10:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.