Triple
T5531870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rita Skeeter (Harry Potter character portrayal) |
E145066
|
entity |
| Predicate | adaptationChangeFromBooks |
P47578
|
FINISHED |
| Object | reduced focus on Animagus subplot |
—
|
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: reduced focus on Animagus subplot | Statement: [Rita Skeeter (Harry Potter character portrayal), adaptationChangeFromBooks, reduced focus on Animagus subplot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationChangeFromBooks Context triple: [Rita Skeeter (Harry Potter character portrayal), adaptationChangeFromBooks, reduced focus on Animagus subplot]
-
A.
adaptationBy
Indicates a relationship where one entity has been modified, transformed, or reworked by another entity into a new form or version.
-
B.
adaptationDifference
chosen
Indicates a difference or change in how two entities adapt or have adapted relative to each other.
-
C.
adaptationSubject
Indicates that one entity serves as the source or subject matter that is adapted into another work or form.
-
D.
adaptation
Indicates a relationship where one entity changes or is modified to better suit, function within, or correspond to another entity or context.
-
E.
adaptationType
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9d17ec8190b93b12931a4c1b33 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.