Triple
T24678364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Now, Voyager |
E611053
|
entity |
| Predicate | timeToFilmAdaptation |
P156965
|
FINISHED |
| Object | about 1 year |
—
|
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: about 1 year | Statement: [Now, Voyager, timeToFilmAdaptation, about 1 year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeToFilmAdaptation Context triple: [Now, Voyager, timeToFilmAdaptation, about 1 year]
-
A.
filmAdaptationAnnounced
Indicates that an official announcement has been made that a film adaptation of a work (such as a book, game, or other source material) will be produced.
-
B.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
C.
hasPreviousFilmAdaptation
Indicates that a work has been adapted into a film before the current or referenced adaptation.
-
D.
adaptationReleaseYear
Indicates the year in which an adaptation of a work was released.
-
E.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
- 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f41010f06c81908ee7f773220df14f |
completed | May 1, 2026, 2:29 a.m. |
Created at: April 18, 2026, 3:07 a.m.