Triple
T18423197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King of Comedy |
E442070
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Diahnne Abbott |
—
|
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: Diahnne Abbott | Statement: [The King of Comedy, starring, Diahnne Abbott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diahnne Abbott Context triple: [The King of Comedy, starring, Diahnne Abbott]
-
A.
Diahnne Abbott
chosen
Diahnne Abbott is an American actress and singer known for her roles in films like "Taxi Driver" and "The King of Comedy."
-
B.
Debralee Scott
Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
-
C.
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."
-
D.
Andrea Barber
Andrea Barber is an American actress best known for playing Kimmy Gibbler on the television sitcoms "Full House" and its sequel "Fuller House."
-
E.
Denise Black
Denise Black is a British actress best known for her roles in television dramas such as Coronation Street and Queer as Folk.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51b102dd88190af474902fe58ead5 |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 10:47 a.m.