Triple
T20453621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boiling Point |
E501717
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Vinette Robinson |
—
|
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: Vinette Robinson | Statement: [Boiling Point, starring, Vinette Robinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinette Robinson Context triple: [Boiling Point, starring, Vinette Robinson]
-
A.
Sydelle Noel
Sydelle Noel is an American actress and former track athlete best known for her role as Cherry "Junkchain" Bang on the Netflix series GLOW.
-
B.
Renée Taylor
Renée Taylor is an American actress, comedian, and writer best known for her role as Sylvia Fine, Fran Drescher’s overbearing mother, on the sitcom *The Nanny*.
-
C.
Denise Black
chosen
Denise Black is a British actress best known for her roles in television dramas such as Coronation Street and Queer as Folk.
-
D.
Alathea Howard
Alathea Howard was an English noblewoman of the early 17th century, best known as the wife of Parliamentarian general Thomas Fairfax, 2nd Lord Fairfax of Cameron.
-
E.
Dawnn Lewis
Dawnn Lewis is an American actress and singer best known for her role as Jaleesa Vinson-Taylor on the television sitcom "A Different World."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d04ca4081909b428c31d16fca10 |
completed | April 20, 2026, 8:31 p.m. |
Created at: April 16, 2026, 11:32 a.m.