Triple
T30581471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N'Jadaka |
E778391
|
entity |
| Predicate | filmMotivation |
P158479
|
FINISHED |
| Object | global liberation of oppressed people of African descent |
—
|
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: global liberation of oppressed people of African descent | Statement: [N'Jadaka, filmMotivation, global liberation of oppressed people of African descent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmMotivation Context triple: [N'Jadaka, filmMotivation, global liberation of oppressed people of African descent]
-
A.
film
Indicates that an entity is a movie or cinematic work, or that a relationship involves such a movie.
-
B.
filmGoal
chosen
Indicates that a film is created with the purpose, objective, or intended outcome of achieving a particular goal.
-
C.
workInspiredFilm
Indicates that a particular work (such as a book, article, or other creation) served as the inspiration or source material for a film.
-
D.
filmicFunction
Indicates the role or purpose that something serves within the structure, style, or narrative function of a film.
-
E.
characterMotivation
Indicates the underlying reasons, desires, or goals that drive a character’s actions and decisions within a narrative.
- 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_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6894261048190aa19ffe41a34413c |
completed | May 2, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:23 p.m.