Triple
T5042140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Killing |
E113568
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Marie Windsor |
E410722
|
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: Marie Windsor | Statement: [The Killing, castMember, Marie Windsor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Windsor Context triple: [The Killing, castMember, Marie Windsor]
-
A.
Marie Windsor
chosen
Marie Windsor was an American character actress best known for her tough, sultry roles in film noir and B-movies during the 1940s and 1950s.
-
B.
Vivien Merchant
Vivien Merchant was an English stage and film actress known for her intense performances in British drama during the 1960s and 1970s.
-
C.
Flora Robson
Flora Robson was a distinguished British actress known for her powerful character roles in both stage and film, often portraying strong, authoritative women.
-
D.
Barbara Weston
Barbara Weston is the central character of the American sitcom "Empty Nest," portrayed as a quirky and often scatterbrained adult daughter living with her widowed father.
-
E.
Celia Johnson
Celia Johnson was a distinguished English actress best known for her nuanced, understated performances in classic British films such as "Brief Encounter."
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0f746788190bf73b8b5069e89cb |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:37 p.m.