Triple
T33939480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Harvey Korman Show |
E870123
|
entity |
| Predicate | starsComedianBestKnownFor |
P169166
|
FINISHED |
| Object | Harvey Korman – The Carol Burnett Show |
—
|
NE NERFINISHED |
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: Harvey Korman – The Carol Burnett Show | Statement: [The Harvey Korman Show, starsComedianBestKnownFor, Harvey Korman – The Carol Burnett Show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsComedianBestKnownFor Context triple: [The Harvey Korman Show, starsComedianBestKnownFor, Harvey Korman – The Carol Burnett Show]
-
A.
starsComedianKnownFor
chosen
Indicates that a work features a comedian who is particularly recognized or famous for that role or performance.
-
B.
comedian
Indicates that the subject performs comedy or is recognized for engaging in comedic entertainment.
-
C.
actorKnownFor
Indicates that an actor is widely recognized or notable for a particular work, role, or contribution.
-
D.
creatorKnownFor
Indicates that a creator is especially recognized or notable for a particular work, contribution, or achievement.
-
E.
partnerInComedyDuo
Indicates that two entities are partners together in a comedy duo act or performance team.
- F. None of above.
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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.