Triple
T28835918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agu (Beasts of No Nation) |
E728179
|
entity |
| Predicate | filmContext |
P150261
|
FINISHED |
| Object | central character in the 2015 film adaptation Beasts of No Nation |
—
|
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: central character in the 2015 film adaptation Beasts of No Nation | Statement: [Agu (Beasts of No Nation), filmContext, central character in the 2015 film adaptation Beasts of No Nation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmContext Context triple: [Agu (Beasts of No Nation), filmContext, central character in the 2015 film adaptation Beasts of No Nation]
-
A.
filmTypeContext
Indicates the contextual relationship between a film and its type or category within a specific classification or usage setting.
-
B.
filmReleaseContext
Indicates the circumstances or setting (such as time, place, or format) under which a film is released.
-
C.
cinematicContext
Indicates the relationship in which something is situated within, shaped by, or relevant to the circumstances, style, or conventions of cinema or film.
-
D.
filmContent
chosen
Indicates that one entity is the substantive material or subject matter contained within a film.
-
E.
film
Indicates that an entity is a movie or cinematic work, or that a relationship involves such a movie.
- 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_69f6596d86b4819092d7d7131ca42cf8 |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:39 a.m.