Triple
T14566672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wager: A Tale of Shipwreck, Mutiny and Murder |
E341801
|
entity |
| Predicate | hasAdaptationAnnounced |
P1690
|
FINISHED |
| Object | film adaptation |
—
|
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 | Statement: [The Wager: A Tale of Shipwreck, Mutiny and Murder, hasAdaptationAnnounced, film adaptation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdaptationAnnounced Context triple: [The Wager: A Tale of Shipwreck, Mutiny and Murder, hasAdaptationAnnounced, film adaptation]
-
A.
hasAdaptationStrategy
Indicates that an entity employs or is associated with a specific method or approach for adapting to changing conditions or requirements.
-
B.
hasMediaAdaptation
chosen
Indicates that a work has been adapted into another medium, such as film, television, or other forms of media.
-
C.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
D.
hasLiveStageAdaptation
Indicates that a work has been adapted into a live stage production, such as a play or musical.
-
E.
hasAdaptedMedium
Indicates that an original work has been transformed or adapted into a different medium or format (e.g., book to film, comic to TV series).
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.