Triple
T18056501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Heaven |
E432050
|
entity |
| Predicate | filmEditing |
P129656
|
FINISHED |
| Object | theatrical cut |
—
|
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: theatrical cut | Statement: [Kingdom of Heaven, filmEditing, theatrical cut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmEditing Context triple: [Kingdom of Heaven, filmEditing, theatrical cut]
-
A.
editedFilm
Indicates that one entity performed the film editing work on another entity, which is a film.
-
B.
filmEditingAcademyAward
Indicates that an entity received or is associated with an Academy Award specifically for film editing.
-
C.
filmEditingNominee
Indicates that an entity was nominated for an award recognizing excellence in film editing for a particular film or work.
-
D.
editedFilmForDirector
Indicates that one person performed film editing work on a movie under the direction or supervision of a specific director.
-
E.
bestEditingWinner
Indicates that the subject is the winner of an award or recognition for best editing in a given context or competition.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c102d08081908d2419c898213400 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:26 a.m.