Triple
T10365297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Line of Beauty (TV serial) |
E244235
|
entity |
| Predicate | adaptedFromPrizeWinningWork |
P15523
|
FINISHED |
| Object | Booker Prize–winning novel |
—
|
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: Booker Prize–winning novel | Statement: [The Line of Beauty (TV serial), adaptedFromPrizeWinningWork, Booker Prize–winning novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptedFromPrizeWinningWork Context triple: [The Line of Beauty (TV serial), adaptedFromPrizeWinningWork, Booker Prize–winning novel]
-
A.
adaptedWorkOfAuthor
Indicates that a work is an adaptation derived from, based on, or reinterpreting the original work of a specified author.
-
B.
adaptedWorkOf
chosen
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
-
C.
adaptedIntoWork
Indicates that an original work has been transformed or re-created into another work, typically in a different medium or format.
-
D.
adaptedFromPublisher
Indicates that the subject work has been adapted from material originally published by the specified publisher.
-
E.
inspiredLaterAdaptation
Indicates that one work or creation served as the creative basis or motivation for a later adaptation of it.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96f25f48190a41c8b0206b9238c |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, noon