Triple
T30567585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beekeeper |
E778027
|
entity |
| Predicate | roadMovieElements |
P169849
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Beekeeper, roadMovieElements, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadMovieElements Context triple: [The Beekeeper, roadMovieElements, yes]
-
A.
filmSceneType
Indicates the type or category of a scene within a film, such as its narrative function, style, or setting.
-
B.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
C.
filmWithinFilm
Indicates that one film is depicted, referenced, or shown as existing within the narrative of another film.
-
D.
notableVehicleInPlot
Indicates that a particular vehicle plays a notable or significant role within the plot of a work.
-
E.
filmContent
Indicates that one entity is the substantive material or subject matter contained within a 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6890f69cc8190813769b61ce1ea23 |
completed | May 2, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:21 p.m.