Triple
T28836174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Africa Movie Academy Award for Best Actress in a Leading Role |
E728187
|
entity |
| Predicate | regionOfEligibleFilms |
P189737
|
FINISHED |
| Object | African countries |
—
|
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: African countries | Statement: [Africa Movie Academy Award for Best Actress in a Leading Role, regionOfEligibleFilms, African countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfEligibleFilms Context triple: [Africa Movie Academy Award for Best Actress in a Leading Role, regionOfEligibleFilms, African countries]
-
A.
filmRatingRegion
Indicates the region or country for which a film’s content rating or classification is applicable.
-
B.
cinemaRegion
Indicates that a cinema is located within, or associated with, a particular geographic or administrative region.
-
C.
focusRegionOfFilms
chosen
Indicates that the films share or are associated with a particular geographic or thematic region that is the main focus of their content or setting.
-
D.
filmEligibilityPeriod
Indicates the time span during which a film qualifies to be considered or evaluated for a specific purpose, such as awards, distribution, or competition.
-
E.
filmRegion
Indicates the geographic region or market in which a film is released, distributed, or primarily associated.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: April 28, 2026, 6:39 a.m.