Triple
T24927244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Before Sunset |
E618890
|
entity |
| Predicate | narrativeTimeGapFromPrequel |
P157871
|
FINISHED |
| Object | 9 years |
—
|
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: 9 years | Statement: [Before Sunset, narrativeTimeGapFromPrequel, 9 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeTimeGapFromPrequel Context triple: [Before Sunset, narrativeTimeGapFromPrequel, 9 years]
-
A.
isPrequelTo
Indicates that one work or event occurs earlier in time and narratively sets up or leads into another work or event.
-
B.
prequelOrSequelTo
Indicates that one work in a narrative series occurs earlier or later in the storyline or release order relative to another work, as its prequel or sequel.
-
C.
protagonistAgeRelativeToPrequel
Indicates how the protagonist’s age in the current work compares to their age in a preceding prequel story.
-
D.
hasAnimatedPrequel
Indicates that one work serves as an earlier, animated installment in the narrative or release sequence of another work.
-
E.
precededByFilmAdaptationOfSameNovel
Indicates that the subject film was released after, and is chronologically preceded by, another film adaptation of the same source novel.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 5:29 a.m.