Triple
T2940593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Sands beach |
E79376
|
entity |
| Predicate | sceneTypeInFilm |
P20834
|
FINISHED |
| Object | opening running sequence |
—
|
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: opening running sequence | Statement: [West Sands beach, sceneTypeInFilm, opening running sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneTypeInFilm Context triple: [West Sands beach, sceneTypeInFilm, opening running sequence]
-
A.
performedInSceneType
Indicates that an action or event was carried out within a scene of a specified type or category.
-
B.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
C.
filmLocationFor
Indicates a relationship where a specific place serves as the filming location for a particular film or production.
-
D.
filmType
Indicates the specific category or genre that a film belongs to.
-
E.
placeOfSetting
chosen
Indicates the location or environment where an event, scene, or situation takes place.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad986f38948190a636a826693a9d4f |
completed | March 8, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69ad96088fb481909976b436c2b729d9 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:56 p.m.