Triple
T15675855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Andrews West Sands Beach |
E377441
|
entity |
| Predicate | sceneTypeInWork |
P86909
|
FINISHED |
| Object | opening running sequence of "Chariots of Fire" |
—
|
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 of "Chariots of Fire" | Statement: [St Andrews West Sands Beach, sceneTypeInWork, opening running sequence of "Chariots of Fire"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneTypeInWork Context triple: [St Andrews West Sands Beach, sceneTypeInWork, opening running sequence of "Chariots of Fire"]
-
A.
performedInSceneType
Indicates that an action or event was carried out within a scene of a specified type or category.
-
B.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
C.
filmSceneType
chosen
Indicates the type or category of a scene within a film, such as its narrative function, style, or setting.
-
D.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
-
E.
scenarioType
Indicates the specific category or kind of situation, context, or use case that an entity or event is associated with.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:16 a.m.