Triple
T20652061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actress for The Favourite |
E507519
|
entity |
| Predicate | filmSettingTimePeriod |
P93599
|
FINISHED |
| Object | early 18th century |
—
|
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: early 18th century | Statement: [Academy Award for Best Actress for The Favourite, filmSettingTimePeriod, early 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSettingTimePeriod Context triple: [Academy Award for Best Actress for The Favourite, filmSettingTimePeriod, early 18th century]
-
A.
settingDepictedPeriod
chosen
Indicates the historical or temporal period in which the setting of something (e.g., a work or scene) is depicted.
-
B.
filmEra
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
C.
filmSettingDecade
Indicates the decade in which the events or primary narrative of a film are set.
-
D.
typicalEraOfFilmsShown
Indicates the historical time period during which the films being shown are most commonly produced or set.
-
E.
appearsInTimePeriodDepicted
Indicates that something is present or occurs within the specific time period that is depicted or represented.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af22d6bc8190b9d6877aba5704eb |
completed | April 20, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.