Triple
T22802045
| 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 | themeOfWinningFilm |
P149775
|
FINISHED |
| Object | friendship across racial and social divides |
—
|
LITERAL 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: friendship across racial and social divides | Statement: [Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film), themeOfWinningFilm, friendship across racial and social divides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeOfWinningFilm Context triple: [Academy Award for Best Picture (for Driving Miss Daisy, as director of winning film), themeOfWinningFilm, friendship across racial and social divides]
-
A.
subjectOfFilm
Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
-
B.
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.
-
C.
notableWinningFilm
Indicates that a film has achieved notable recognition by winning a significant award or competition.
-
D.
identifierForFilmTheme
Indicates that something serves as an identifying label or code specifically assigned to a film theme.
-
E.
prizeTheme
Indicates that a prize is associated with or awarded based on a particular theme.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:31 p.m.