Triple
T29877494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Star Wars Story |
E758780
|
entity |
| Predicate | usedInFilmMarketing |
P189704
|
FINISHED |
| Object | Rogue One: A Star Wars Story |
—
|
NE NERFINISHED |
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: Rogue One: A Star Wars Story | Statement: [A Star Wars Story, usedInFilmMarketing, Rogue One: A Star Wars Story]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInFilmMarketing Context triple: [A Star Wars Story, usedInFilmMarketing, Rogue One: A Star Wars Story]
-
A.
partOfFilmMarketing
chosen
Indicates that something is an element or activity belonging to the marketing or promotional campaign for a film.
-
B.
usedInProductionOfFilm
Indicates that something (such as a resource, tool, or material) was utilized during the making or production process of a film.
-
C.
usedInMarketingMaterials
Indicates that something is included or featured as part of marketing or promotional materials.
-
D.
hasTypeOfUseInFilm
Indicates that something is associated with a specific manner or category of use within the context of a film.
-
E.
basedInFilm
Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular film.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: April 29, 2026, 5:56 p.m.