Triple
T22840105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogue One: A Star Wars Story (film score) |
E566055
|
entity |
| Predicate | originallyPublishedInYear |
P60473
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [Rogue One: A Star Wars Story (film score), originallyPublishedInYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyPublishedInYear Context triple: [Rogue One: A Star Wars Story (film score), originallyPublishedInYear, 2016]
-
A.
firstPublishedInWorkYear
chosen
Indicates the year in which a work was first published.
-
B.
lastOriginalEditionYear
Indicates the calendar year in which the work’s most recent original (non-revised) edition was first published.
-
C.
originallyPublishedBy
Indicates that one entity is the original publisher or issuing source responsible for first making another entity publicly available.
-
D.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly available.
-
E.
originalIntendedPublicationYear
Indicates the year in which a work was initially planned or intended to be published, regardless of when it was actually released.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8325948190a3b63f2cd0371373 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:35 p.m.