Triple
T9433725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thelma Evans |
E227448
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | BernNadette Stanis |
E161505
|
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: BernNadette Stanis | Statement: [Thelma Evans, portrayedBy, BernNadette Stanis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BernNadette Stanis Context triple: [Thelma Evans, portrayedBy, BernNadette Stanis]
-
A.
BernNadette Stanis
chosen
BernNadette Stanis is an American actress best known for playing Thelma Evans on the classic 1970s sitcom "Good Times."
-
B.
Jennifer Coolidge
Jennifer Coolidge is an American actress and comedian best known for her scene-stealing roles in films like "Legally Blonde" and the "American Pie" series, as well as the TV series "The White Lotus."
-
C.
Kathie Moffat
Kathie Moffat is the seductive and treacherous femme fatale in the classic 1947 film noir "Out of the Past."
-
D.
Susan Cummings
Susan Cummings was a German-American film and television actress active in the 1950s and 1960s, known for her roles in adventure and genre pictures as well as numerous TV guest appearances.
-
E.
Kate Dickie
Kate Dickie is a Scottish actress known for her intense and often unsettling performances in film and television, including roles in projects like "Red Road," "Game of Thrones," and "The Witch."
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e62d53c81908055e0967e6cd54d |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104514d481908d7cb9a87a01f1e2 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:49 p.m.