Triple
T11493739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Through the Night |
E272479
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kaaren Verne |
E445697
|
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: Kaaren Verne | Statement: [All Through the Night, starring, Kaaren Verne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaaren Verne Context triple: [All Through the Night, starring, Kaaren Verne]
-
A.
Kaaren Verne
chosen
Kaaren Verne was a German-born actress known for her roles in Hollywood films of the 1940s, often portraying European characters during World War II–era productions.
-
B.
Barbara Hackett
Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
-
C.
Suzanne Kaaren
Suzanne Kaaren was an American film actress and model active in the 1930s and 1940s, known for her roles in B-movies and as one of the original Rockettes at Radio City Music Hall.
-
D.
Lecy Goranson
Lecy Goranson is an American actress best known for playing Becky Conner on the sitcom "Roseanne" and its revival.
-
E.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85ddffdf88190a00e94ad5b8b91a5 |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86853e088190a9c1378aad45fa18 |
completed | April 26, 2026, 9:41 p.m. |
Created at: April 8, 2026, 9:36 p.m.