Triple
T1086469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Che! (1969 film) |
E24061
|
entity |
| Predicate | hasPortrayalStyle |
P9800
|
FINISHED |
| Object | dramatic |
—
|
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: dramatic | Statement: [Che! (1969 film), hasPortrayalStyle, dramatic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPortrayalStyle Context triple: [Che! (1969 film), hasPortrayalStyle, dramatic]
-
A.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
B.
depictionType
chosen
Indicates the specific manner or style in which something is visually represented or depicted.
-
C.
artisticStyle
Indicates the artistic movement, style, or aesthetic approach that characterizes how something is created or visually expressed.
-
D.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
-
E.
hasCulturalDepiction
Indicates that one entity is represented, portrayed, or depicted in the cultural work or expression of another entity.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b963161081908a523c8d63871652 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.