Triple
T11094010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Nurse |
E262326
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Kim Dickens |
E641462
|
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: Kim Dickens | Statement: [The Good Nurse, stars, Kim Dickens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Dickens Context triple: [The Good Nurse, stars, Kim Dickens]
-
A.
Kim Dickens
chosen
Kim Dickens is an American actress known for her roles in television series such as Fear the Walking Dead, Deadwood, and Treme, as well as films like Gone Girl.
-
B.
Mare Winningham
Mare Winningham is an American actress and singer-songwriter known for her acclaimed work in film, television, and theater, including multiple Emmy-winning performances.
-
C.
Cornelia Bullock
Cornelia Bullock is a spoiled, scheming socialite and one of the wealthy Bullock daughters in the classic screwball comedy film "My Man Godfrey."
-
D.
Catrina Ladd
Catrina Ladd is best known as the wife of late American film producer and studio executive Alan Ladd Jr.
-
E.
Amy Ruck
Amy Ruck was the wife of botanist Francis Darwin, son of Charles Darwin, and a member of the extended Darwin family circle in late 19th-century England.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ed12d88190a4ad8c346d68f11f |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7e0c7e4819098e690ffebbd8e61 |
completed | April 18, 2026, 8:21 p.m. |
Created at: April 8, 2026, 9:27 p.m.