Triple
T20183473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rules of Attraction |
E492791
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Swoosie Kurtz |
—
|
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: Swoosie Kurtz | Statement: [The Rules of Attraction, portrayedBy, Swoosie Kurtz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swoosie Kurtz Context triple: [The Rules of Attraction, portrayedBy, Swoosie Kurtz]
-
A.
Swoosie Kurtz
chosen
Swoosie Kurtz is an American actress known for her work on stage, film, and television, including acclaimed performances in "Sisters," "Pushing Daisies," and numerous Broadway productions.
-
B.
Heidi Dove
Heidi Dove is an individual notable enough to be recognized as a namesake of the surname Dove.
-
C.
Terri Colombino
Terri Colombino is an American actress best known for her long-running role as Katie Peretti on the soap opera "As the World Turns."
-
D.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
E.
Suzzanna Hart
Suzzanna Hart is known as the spouse of American experimental filmmaker and poet James Broughton.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.