Triple
T4709020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Here to Eternity |
E104462
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Donna Reed |
E224918
|
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: Donna Reed | Statement: [From Here to Eternity, stars, Donna Reed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna Reed Context triple: [From Here to Eternity, stars, Donna Reed]
-
A.
Donna Reed
chosen
Donna Reed was an American actress best known for her roles in the film "It's a Wonderful Life" and the television series "The Donna Reed Show."
-
B.
Dina Merrill
Dina Merrill was an American actress, heiress, and philanthropist known for her elegant screen presence in mid-20th-century Hollywood films and television.
-
C.
Evelyn Keyes
Evelyn Keyes was an American film actress best known for her role as Suellen O'Hara in the classic 1939 film "Gone with the Wind."
-
D.
Nancy Richardson
Nancy Richardson is a film editor best known for her work on movies such as the biographical sports comedy-drama "Fighting with My Family."
-
E.
Teresa Wright
Teresa Wright was an acclaimed American film actress best known for her Academy Award–winning and nominated performances in classic 1940s films such as "Mrs. Miniver," "The Pride of the Yankees," and "The Best Years of Our Lives."
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63ed2ed081908cd52570ba085806 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06913b448190be47c002641abd34 |
completed | March 21, 2026, 8:58 p.m. |
Created at: March 20, 2026, 1:17 p.m.