Triple
T26431898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruggles of Red Gap |
E664531
|
entity |
| Predicate | hasFilmAdaptationOfSameWork |
P15523
|
FINISHED |
| Object | Ruggles of Red Gap (1923 film) |
—
|
NE NERFINISHED |
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: Ruggles of Red Gap (1923 film) | Statement: [Ruggles of Red Gap, hasFilmAdaptationOfSameWork, Ruggles of Red Gap (1923 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmAdaptationOfSameWork Context triple: [Ruggles of Red Gap, hasFilmAdaptationOfSameWork, Ruggles of Red Gap (1923 film)]
-
A.
hasFilmAdaptationTitle
Indicates that a creative work has a film adaptation whose title is given by the related value.
-
B.
hasPreviousFilmAdaptation
Indicates that a work has been adapted into a film before the current or referenced adaptation.
-
C.
hasGraphicNovelAdaptation
Indicates that a work has been adapted into a graphic novel format.
-
D.
adaptedWorkOf
chosen
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
-
E.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 26, 2026, 11:50 p.m.