Triple
T13881112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rains of Ranchipur |
E333717
|
entity |
| Predicate | hasFilmRemakeRelation |
P21944
|
FINISHED |
| Object | Technicolor CinemaScope remake of The Rains Came |
—
|
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: Technicolor CinemaScope remake of The Rains Came | Statement: [The Rains of Ranchipur, hasFilmRemakeRelation, Technicolor CinemaScope remake of The Rains Came]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmRemakeRelation Context triple: [The Rains of Ranchipur, hasFilmRemakeRelation, Technicolor CinemaScope remake of The Rains Came]
-
A.
hasRemake
chosen
Indicates that one work is a new version or recreation of an earlier existing work.
-
B.
remakeOfFilmStarring
Indicates that one film is a remake of another film in which a specified actor or set of actors starred.
-
C.
liveActionRemakeOf
Indicates that one work is a live-action remake adaptation of another, originally non-live-action, work.
-
D.
remakeFeature
Indicates that one work is a new version or adaptation created by redoing or updating the features of an earlier work.
-
E.
isNotRemakeOf
Indicates that one work is explicitly not a remake or new version of another existing 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:15 p.m.