Triple
T22802042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film) |
E564420
|
entity |
| Predicate | relatedAwardToWinningFilm |
P94202
|
FINISHED |
| Object | Academy Award for Best Actress (Jessica Tandy) |
—
|
NE NERFINISHED |
How this triple was built (3 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: Academy Award for Best Actress (Jessica Tandy) | Statement: [Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film), relatedAwardToWinningFilm, Academy Award for Best Actress (Jessica Tandy)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Actress (Jessica Tandy) Context triple: [Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film), relatedAwardToWinningFilm, Academy Award for Best Actress (Jessica Tandy)]
-
A.
Academy Award for Best Actress
chosen
The Academy Award for Best Actress is a prestigious Oscar presented annually by the Academy of Motion Picture Arts and Sciences to honor the most outstanding lead performance by an actress in a film.
-
B.
Academy Award for Best Actress for Louise Fletcher
The Academy Award for Best Actress for Louise Fletcher honors her acclaimed performance as the tyrannical Nurse Ratched in the 1975 film "One Flew Over the Cuckoo's Nest."
-
C.
Academy Award for Best Supporting Actress
The Academy Award for Best Supporting Actress is a prestigious Oscar presented annually by the Academy of Motion Picture Arts and Sciences to honor an outstanding performance by an actress in a supporting role in a film.
-
D.
Academy Award for Best Supporting Actress (Anne Revere)
The Academy Award for Best Supporting Actress (Anne Revere) recognizes Anne Revere’s Oscar-nominated performance in a supporting role, notably including her work in the film "Gentleman's Agreement."
-
E.
Academy Award for Best Supporting Actress for Olympia Dukakis
The Academy Award for Best Supporting Actress for Olympia Dukakis honors her acclaimed performance as Rose Castorini in the 1987 romantic comedy-drama film "Moonstruck."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedAwardToWinningFilm Context triple: [Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film), relatedAwardToWinningFilm, Academy Award for Best Actress (Jessica Tandy)]
-
A.
associatedAwardWinningFilm
Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
-
B.
associatedWithAwardNominatedFilm
Indicates that an entity has a relationship to a film that has been nominated for an award.
-
C.
hasAwardedForFilmIndustry
chosen
Indicates that an entity has given or conferred an award to another entity specifically for achievements in the film industry.
-
D.
mostAwardsFilm
Indicates that a film is the one that has received the highest number of awards within a given set or context.
-
E.
awardedForTheater
Indicates that an award or honor is given in recognition of achievements or contributions in the field of theater.
- F. None of above.
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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdd87648190ba30f0b8f3ef7346 |
completed | April 29, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:31 p.m.