Triple
T6666797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Skelton |
E151621
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Willie Lump-Lump
Willie Lump-Lump is a comedic character portrayed by American entertainer Red Skelton in his classic radio and television sketches.
|
E609033
|
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: Willie Lump-Lump | Statement: [Red Skelton, notableCharacter, Willie Lump-Lump]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Willie Lump-Lump Context triple: [Red Skelton, notableCharacter, Willie Lump-Lump]
-
A.
Willie the Weeper
"Willie the Weeper" is a classic early jazz tune, popularized in the 1920s and known for its vivid, drug-themed storytelling and recordings by major jazz artists.
-
B.
Willie
Willie is a character from the classic American television sitcom "Happy Days," which nostalgically portrays life in the 1950s and 1960s.
-
C.
Willie
Willie is the given name of Willie Blount, an American politician who served as governor of Tennessee in the early 19th century.
-
D.
Willie
Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
-
E.
Wilbert
Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
- 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: Willie Lump-Lump Triple: [Red Skelton, notableCharacter, Willie Lump-Lump]
Generated description
Willie Lump-Lump is a comedic character portrayed by American entertainer Red Skelton in his classic radio and television sketches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Willie Lump-Lump Target entity description: Willie Lump-Lump is a comedic character portrayed by American entertainer Red Skelton in his classic radio and television sketches.
-
A.
Willie the Weeper
"Willie the Weeper" is a classic early jazz tune, popularized in the 1920s and known for its vivid, drug-themed storytelling and recordings by major jazz artists.
-
B.
Willie
Willie is a character from the classic American television sitcom "Happy Days," which nostalgically portrays life in the 1950s and 1960s.
-
C.
Willie
Willie is the given name of Willie Blount, an American politician who served as governor of Tennessee in the early 19th century.
-
D.
Willie
Willie is the first name of Willie Nelson, the iconic American country music singer-songwriter and cultural figure.
-
E.
Wilbert
Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b09ec2ec8190aa666c68c6c2cfc6 |
completed | March 27, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0e33308190995fcccf50d134c1 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a3f0b481908dfe70d626277e8f |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1a3995c8190b22766356b6e6bf8 |
completed | March 27, 2026, 9:07 p.m. |
Created at: March 27, 2026, 2:02 p.m.