Triple
T4622874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Stooges |
E101027
|
entity |
| Predicate | laterMembers |
P7654
|
FINISHED |
| Object | Joe Besser |
E334734
|
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: Joe Besser | Statement: [Three Stooges, laterMembers, Joe Besser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Besser Context triple: [Three Stooges, laterMembers, Joe Besser]
-
A.
Joe Besser
chosen
Joe Besser was an American comedian and actor best known as one of the later members of The Three Stooges and for his distinctive whiny, childlike persona in film and television.
-
B.
Shelley Berman
Shelley Berman was an American comedian, actor, and writer renowned as a pioneering stand-up performer whose influential comedy albums helped popularize observational humor.
-
C.
Edgar Bergen
Edgar Bergen was a famed American ventriloquist and radio performer best known for his dummy characters Charlie McCarthy and Mortimer Snerd.
-
D.
Jack Benny
Jack Benny was a pioneering American comedian, actor, and radio/television star renowned for his masterful timing, stingy persona, and influential deadpan style.
-
E.
Norman I. Badler
Norman I. Badler is an American computer scientist known for his pioneering work in computer graphics, human modeling, and animation, and for his long tenure as a professor at the University of Pennsylvania.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6234e8108190b985270b9ddd1f3a |
completed | March 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be399de7248190ba4cde67ff4cbff4 |
completed | March 21, 2026, 6:24 a.m. |
Created at: March 20, 2026, 1:12 p.m.