Triple
T5140688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rags Ragland |
E115942
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Red Skelton |
E151621
|
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: Red Skelton | Statement: [Rags Ragland, workedWith, Red Skelton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Skelton Context triple: [Rags Ragland, workedWith, Red Skelton]
-
A.
Red Skelton
chosen
Red Skelton was a beloved American comedian, actor, and radio and television entertainer best known for his long-running TV variety show and iconic clown characters.
-
B.
Milton Berle
Milton Berle was an American comedian and actor widely known as one of television’s first major stars, often called “Mr. Television” for his pioneering role in early TV entertainment.
-
C.
Ed Wynn
Ed Wynn was an American comedian and character actor known for his distinctive high-pitched voice and whimsical performances in early radio, film, and television.
-
D.
W. C. Fields
W. C. Fields was a famed American comedian, actor, and writer known for his misanthropic persona, distinctive drawl, and influential work in vaudeville and early Hollywood films.
-
E.
Fred Allen
Fred Allen was an American film editor active in mid-20th-century cinema, known for his work on numerous Hollywood productions.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd787e5fe88190834042a73d4d9619 |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfe2a59881908c790e26a2365353 |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:43 p.m.