Triple
T3239270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cosby Show |
E67928
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lisa Bonet |
E185413
|
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: Lisa Bonet | Statement: [The Cosby Show, starring, Lisa Bonet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Bonet Context triple: [The Cosby Show, starring, Lisa Bonet]
-
A.
Lisa Bonet
chosen
Lisa Bonet is an American actress best known for her role as Denise Huxtable on "The Cosby Show" and its spin-off "A Different World."
-
B.
Janeane Garofalo
Janeane Garofalo is an American stand-up comedian, actress, and political activist known for her sharp, sardonic wit and roles in films like "Reality Bites" and "The Truth About Cats & Dogs."
-
C.
Jill Hennessy
Jill Hennessy is a Canadian actress and musician best known for her leading roles on the television series Law & Order and Crossing Jordan.
-
D.
Kirstie Alley
Kirstie Alley was an American actress best known for her Emmy-winning role as Rebecca Howe on the hit sitcom "Cheers" and for her work in films like "Look Who's Talking."
-
E.
Shelley Long
Shelley Long is an American actress best known for her Emmy-winning role as Diane Chambers on the television sitcom "Cheers."
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef4c0bc819095e4f84296fe7cb6 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eadeff481909bd48cdf51044f86 |
completed | March 12, 2026, 10 a.m. |
Created at: March 8, 2026, 3:08 p.m.