Triple
T37729216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertrand Morane |
E940109
|
entity |
| Predicate | appearsInRemakeAs |
P198153
|
FINISHED |
| Object | Bertrand Morane (American remake character) |
—
|
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: Bertrand Morane (American remake character) | Statement: [Bertrand Morane, appearsInRemakeAs, Bertrand Morane (American remake character)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInRemakeAs Context triple: [Bertrand Morane, appearsInRemakeAs, Bertrand Morane (American remake character)]
-
A.
appearsInRemakeOf
Indicates that an entity appears in a work that is a remake of another original work.
-
B.
remakeAppearsIn
Indicates that a remake of a work is featured, shown, or included within a particular context, such as a collection, series, or medium.
-
C.
remakeOfFilmStarring
Indicates that one film is a remake of another film in which a specified actor or set of actors starred.
-
D.
remakeOfFilmBy
Indicates that one film is a remake created by a specific filmmaker or director of an earlier film.
-
E.
filmRemakeOf
Indicates that one film is a remake of another earlier film, typically retelling the same or a very similar story.
- F. None of above. chosen
Provenance (4 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fecd091abc8190872974de731a80fa |
completed | May 9, 2026, 5:58 a.m. |
Created at: May 3, 2026, 4:18 p.m.