Triple
T12657561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy New Year (1987 film) |
E302323
|
entity |
| Predicate | hasRemakeRelationship |
P21944
|
FINISHED |
| Object | remake of La bonne année (1973 film) |
—
|
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: remake of La bonne année (1973 film) | Statement: [Happy New Year (1987 film), hasRemakeRelationship, remake of La bonne année (1973 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemakeRelationship Context triple: [Happy New Year (1987 film), hasRemakeRelationship, remake of La bonne année (1973 film)]
-
A.
hasRemake
chosen
Indicates that one work is a new version or recreation of an earlier existing work.
-
B.
liveActionRemakeOf
Indicates that one work is a live-action remake adaptation of another, originally non-live-action, work.
-
C.
remakeOfFilmStarring
Indicates that one film is a remake of another film in which a specified actor or set of actors starred.
-
D.
isNotRemakeOf
Indicates that one work is explicitly not a remake or new version of another existing work.
-
E.
hasRemastering
Indicates that one version of a work is a remastered form derived from another version of the same 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:19 p.m.