Triple
T5214161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Pasternak |
E117706
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Deanna Durbin |
E504578
|
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: Deanna Durbin | Statement: [Joe Pasternak, workedWith, Deanna Durbin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deanna Durbin Context triple: [Joe Pasternak, workedWith, Deanna Durbin]
-
A.
Deanna Durbin
chosen
Deanna Durbin was a Canadian-born American actress and singer who became one of Hollywood’s most popular musical film stars of the 1930s and 1940s, known for her clear soprano voice and girl-next-door charm.
-
B.
Margaret O'Brien
Margaret O'Brien is an American former child actress best known for her acclaimed performances in 1940s films such as "Meet Me in St. Louis."
-
C.
Dorothy Lamour
Dorothy Lamour was an American actress and singer best known for her roles in the "Road to..." comedy films alongside Bing Crosby and Bob Hope.
-
D.
Shirley Temple
Shirley Temple was a hugely popular American child actress, singer, and dancer of the 1930s who later became a diplomat.
-
E.
Zoe Hart
Zoe Hart is the main character of the TV series "Hart of Dixie," a New York doctor who moves to a small town in Alabama and navigates its tight-knit community and relationships.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a911d40819086621537274dc0f0 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe5aabbc8190bc09eaffb5ec9776 |
completed | March 21, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:47 p.m.