Triple
T20513003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Date with Judy |
E503610
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Dorothy Cooper |
—
|
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: Dorothy Cooper | Statement: [A Date with Judy, screenwriter, Dorothy Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothy Cooper Context triple: [A Date with Judy, screenwriter, Dorothy Cooper]
-
A.
Dorothy Cooper
chosen
Dorothy Cooper was an American screenwriter active during Hollywood's mid-20th century studio era, contributing scripts to several feature films.
-
B.
Dorothy Cooper
Dorothy Cooper was the wife of British crime writer Colin Dexter, known for supporting him throughout his career creating the Inspector Morse novels.
-
C.
Dorothy DuBois
Dorothy DuBois was the wife of American Treasury Department lawyer and Holocaust whistleblower Josiah E. DuBois Jr.
-
D.
Dorothy Adams
Dorothy Adams was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
-
E.
Dorothy Bussy
Dorothy Bussy was an English novelist and translator best known for her close association with French writer André Gide and for translating many of his works into English.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dcd74c48190b050e25c20154c09 |
completed | April 20, 2026, 9:42 p.m. |
Created at: April 16, 2026, 11:36 a.m.