Triple
T37722558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bachelor Mother |
E939625
|
entity |
| Predicate | remakeStarring |
P32926
|
FINISHED |
| Object | Debbie Reynolds |
—
|
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: Debbie Reynolds | Statement: [Bachelor Mother, remakeStarring, Debbie Reynolds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remakeStarring Context triple: [Bachelor Mother, remakeStarring, Debbie Reynolds]
-
A.
remakeOfFilmStarring
chosen
Indicates that one film is a remake of another film in which a specified actor or set of actors starred.
-
B.
remakeDirector
Indicates that the subject is the director of a remake of the object work (e.g., film, show, or other media).
-
C.
liveActionRemakeOf
Indicates that one work is a live-action remake adaptation of another, originally non-live-action, work.
-
D.
hasRemake
Indicates that one work is a new version or recreation of an earlier existing work.
-
E.
remakeFeature
Indicates that one work is a new version or adaptation created by redoing or updating the features of an earlier 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.