Triple
T36055279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Cox |
E1042926
|
entity |
| Predicate | adaptationDifferenceFromNovel |
P152697
|
FINISHED |
| Object | personality more aggressive in film than in 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: personality more aggressive in film than in novel | Statement: [Barry Cox, adaptationDifferenceFromNovel, personality more aggressive in film than in novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationDifferenceFromNovel Context triple: [Barry Cox, adaptationDifferenceFromNovel, personality more aggressive in film than in novel]
-
A.
adaptationDifferenceFromBooks
chosen
Indicates a difference between how something is portrayed in an adaptation and how it appears in the original books.
-
B.
adaptationDifference
Indicates a difference or change in how two entities adapt or have adapted relative to each other.
-
C.
adaptedNovel
Indicates that a novel has been adapted into another medium, such as a film, television series, or stage production.
-
D.
isAdaptationOfSecondNovel
Indicates that one work is an adaptation specifically of the second novel in a series or sequence.
-
E.
adaptationOfFirstNovel
Indicates that the subject work is an adaptation specifically of the first novel in a given series or by a particular author.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.