Triple
T1787969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Oyelowo as Martin Luther King Jr. |
E39430
|
entity |
| Predicate | portrayalTheme |
P7671
|
FINISHED |
| Object | leadership under pressure |
—
|
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: leadership under pressure | Statement: [David Oyelowo as Martin Luther King Jr., portrayalTheme, leadership under pressure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalTheme Context triple: [David Oyelowo as Martin Luther King Jr., portrayalTheme, leadership under pressure]
-
A.
challengesPortrayalOf
Indicates that one entity questions, disputes, or undermines the way another entity is represented or depicted.
-
B.
notableTheme
chosen
Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
-
C.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
-
D.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
E.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.