Triple
T13128424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordita Beach |
E311902
|
entity |
| Predicate | mediaAdaptationSettingOf |
P108205
|
FINISHED |
| Object | film adaptation of Inherent Vice |
—
|
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: film adaptation of Inherent Vice | Statement: [Gordita Beach, mediaAdaptationSettingOf, film adaptation of Inherent Vice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaAdaptationSettingOf Context triple: [Gordita Beach, mediaAdaptationSettingOf, film adaptation of Inherent Vice]
-
A.
hasMediaAdaptation
Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
-
B.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
C.
mediaSettingFor
Indicates a configuration or setting that is applied to or associated with a particular media item or media context.
-
D.
hasAdaptationStrategy
Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
-
E.
screenAdaptationOfGenre
Indicates that a screen production (such as a film or TV show) is an adaptation of a work belonging to a specified genre.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819bfd348190a22d44f837877e1c |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:07 p.m.