Triple
T32146651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weebo |
E821039
|
entity |
| Predicate | appearsInRemakeOf |
P193068
|
FINISHED |
| Object | The Absent-Minded Professor |
E511929
|
NE 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: The Absent-Minded Professor | Statement: [Weebo, appearsInRemakeOf, The Absent-Minded Professor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInRemakeOf Context triple: [Weebo, appearsInRemakeOf, The Absent-Minded Professor]
-
A.
remakeAppearsIn
Indicates that a remake of a work is featured, shown, or included within a particular context, such as a collection, series, or medium.
-
B.
remakeOfFilmBy
Indicates that one film is a remake created by a specific filmmaker or director of an earlier film.
-
C.
filmRemakeOf
Indicates that one film is a remake of another earlier film, typically retelling the same or a very similar story.
-
D.
remakeOfFilmStarring
Indicates that one film is a remake of another film in which a specified actor or set of actors starred.
-
E.
remakeOfGame
Indicates that one game is a new version or recreation of another previously existing game, typically updating or reimagining the original.
- F. None of above. chosen
Provenance (5 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f014463f88190b2c663aedc6ac666 |
completed | June 14, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69fd37b45b4481908b947b52fbcb7ade |
completed | May 8, 2026, 1:09 a.m. |
Created at: May 1, 2026, 12:31 a.m.