Triple
T23516141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarisse Renaldi |
E574371
|
entity |
| Predicate | adaptationDifferenceFromBooks |
P152697
|
FINISHED |
| Object | portrayed as reigning queen rather than dowager princess |
—
|
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: portrayed as reigning queen rather than dowager princess | Statement: [Clarisse Renaldi, adaptationDifferenceFromBooks, portrayed as reigning queen rather than dowager princess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationDifferenceFromBooks Context triple: [Clarisse Renaldi, adaptationDifferenceFromBooks, portrayed as reigning queen rather than dowager princess]
-
A.
adaptationDifference
Indicates a difference or change in how two entities adapt or have adapted relative to each other.
-
B.
adaptedBook
Indicates that a book has been transformed or reworked from an original source, such as another medium, edition, or context.
-
C.
adaptedFromBookSeries
Indicates that one work is an adaptation based on the narrative, characters, or world of a specific book series.
-
D.
notableDifferenceFromDisneyAdaptation
Indicates that something differs in a significant way from how it is portrayed in a Disney adaptation.
-
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. 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa81ab4c8190b85c8f80754020ea |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:08 p.m.