Triple
T27642089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superior |
E696613
|
entity |
| Predicate | hasMediaAdaptationPlanned |
P1690
|
FINISHED |
| Object | film adaptation (development status) |
—
|
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 (development status) | Statement: [Superior, hasMediaAdaptationPlanned, film adaptation (development status)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediaAdaptationPlanned Context triple: [Superior, hasMediaAdaptationPlanned, film adaptation (development status)]
-
A.
hasMediaAdaptation
chosen
Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
-
B.
hasAdaptationStrategy
Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
-
C.
hasLiveStageAdaptation
Indicates that a work has been adapted into a live stage production, such as a play or musical.
-
D.
mediaAdaptationSettingOf
Indicates that a media adaptation (such as a film, series, or game) is set in the narrative world or environment of a particular original work.
-
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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 27, 2026, 2:27 p.m.