Triple
T23444064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Uhry |
E565484
|
entity |
| Predicate | adaptedToScreen |
P121220
|
FINISHED |
| Object | Driving Miss Daisy |
—
|
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: Driving Miss Daisy | Statement: [Alfred Uhry, adaptedToScreen, Driving Miss Daisy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptedToScreen Context triple: [Alfred Uhry, adaptedToScreen, Driving Miss Daisy]
-
A.
screenAdaptationFrom
chosen
Indicates that a screen-based work (such as a film or TV show) is an adaptation derived from another source work.
-
B.
adaptedTo
Indicates that one entity has been modified, adjusted, or evolved to function effectively within the conditions, requirements, or characteristics defined by another entity.
-
C.
screenAdaptationOfGenre
Indicates that a screen production (such as a film or TV show) is an adaptation of a work belonging to a specified genre.
-
D.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
E.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64717d08190a2c25e7bbfc17a2f |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:51 p.m.