Triple
T9755218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Thompson as Queen Elinor |
E236536
|
entity |
| Predicate | basedOnCulture |
P7826
|
FINISHED |
| Object | ScottishHighlandsFolklore |
—
|
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: ScottishHighlandsFolklore | Statement: [Emma Thompson as Queen Elinor, basedOnCulture, ScottishHighlandsFolklore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnCulture Context triple: [Emma Thompson as Queen Elinor, basedOnCulture, ScottishHighlandsFolklore]
-
A.
positionOnCulture
Indicates the stance, viewpoint, or opinion that one entity holds regarding cultural issues, practices, or phenomena in relation to another entity or context.
-
B.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
-
C.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
D.
usedInCulture
chosen
Indicates that something (such as an object, practice, or concept) is employed, referenced, or plays a role within a particular culture or cultural context.
-
E.
culturallySimilarTo
Indicates that two entities share comparable cultural characteristics, practices, or values.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb1370c8190bc153db8cababc62 |
completed | April 1, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.