Triple
T1787968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Oyelowo as Martin Luther King Jr. |
E39430
|
entity |
| Predicate | portrayalRecognition |
P32392
|
FINISHED |
| Object | included in many best-performances-of-2014 lists |
—
|
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: included in many best-performances-of-2014 lists | Statement: [David Oyelowo as Martin Luther King Jr., portrayalRecognition, included in many best-performances-of-2014 lists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalRecognition Context triple: [David Oyelowo as Martin Luther King Jr., portrayalRecognition, included in many best-performances-of-2014 lists]
-
A.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
-
B.
portraysGroup
Indicates that one entity depicts, represents, or visually illustrates a group of entities as its subject.
-
C.
depictionType
Indicates the specific manner or style in which something is visually represented or depicted.
-
D.
portrayedByWork
Indicates that a work (such as a film, book, or artwork) depicts, represents, or portrays a particular entity.
-
E.
challengesPortrayalOf
Indicates that one entity questions, disputes, or undermines the way another entity is represented or depicted.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69ab75444d28819091c393e62fc97f82 |
completed | March 7, 2026, 12:45 a.m. |
Created at: March 4, 2026, 7:32 p.m.