Triple
T13920765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Besser |
E334734
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Bud Abbott |
E751224
|
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: Bud Abbott | Statement: [Joe Besser, workedWith, Bud Abbott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bud Abbott Context triple: [Joe Besser, workedWith, Bud Abbott]
-
A.
Bud Abbott
chosen
Bud Abbott was an American comedian and straight man best known as one half of the legendary comedy duo Abbott and Costello.
-
B.
Charles Gleason
Charles Gleason is a personal name shared by multiple individuals, including various professionals and public figures, rather than a single widely recognized person.
-
C.
Jim Backus
Jim Backus was an American actor and voice artist best known for voicing the cartoon character Mr. Magoo and portraying Thurston Howell III on the television series "Gilligan's Island."
-
D.
Red Skelton
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.
-
E.
Oliver Hardy
Oliver Hardy was an American comic actor best known as one half of the legendary film comedy duo Laurel and Hardy.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa428ac819084e7c4b244d15f20 |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c45ba4819096233570d8d4afec |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:16 p.m.