Triple
T37521784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Country Girl (adaptation) |
E932796
|
entity |
| Predicate | isAdaptationOfGenre |
P57201
|
FINISHED |
| Object | Restoration comedy |
—
|
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: Restoration comedy | Statement: [The Country Girl (adaptation), isAdaptationOfGenre, Restoration comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAdaptationOfGenre Context triple: [The Country Girl (adaptation), isAdaptationOfGenre, Restoration comedy]
-
A.
hasAdaptedGenre
Indicates that one work has been adapted into another work belonging to a different or specific genre.
-
B.
adaptationOfWorkGenre
chosen
Indicates that one work is an adaptation of another work that belongs to a specific genre.
-
C.
hasAdaptationsIn
Indicates that something possesses or exhibits adaptations within a particular context, environment, or domain.
-
D.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
E.
notableGenreAdaptation
Indicates that a work is a significant adaptation of another work into a different genre.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.