Triple
T13883633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Plummer (singing voice dubbed) |
E333779
|
entity |
| Predicate | creditedInOnScreenTitles |
P66001
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Christopher Plummer (singing voice dubbed), creditedInOnScreenTitles, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creditedInOnScreenTitles Context triple: [Christopher Plummer (singing voice dubbed), creditedInOnScreenTitles, no]
-
A.
creditedIn
chosen
Indicates that an entity is acknowledged or listed as a contributor or source within a particular work, record, or context.
-
B.
actsIn
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
C.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
-
D.
givenNameInFilm
Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
-
E.
producedFilmStarring
Indicates that a person or company produced a film in which a specified actor or set of actors starred.
- 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.