Triple
T30213047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberto Korda |
E768121
|
entity |
| Predicate | signatureWorkDepicts |
P74686
|
FINISHED |
| Object | Che Guevara in beret with star |
—
|
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: Che Guevara in beret with star | Statement: [Alberto Korda, signatureWorkDepicts, Che Guevara in beret with star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signatureWorkDepicts Context triple: [Alberto Korda, signatureWorkDepicts, Che Guevara in beret with star]
-
A.
appearsInWorkOfArt
chosen
Indicates that an entity is depicted, represented, or otherwise featured within a particular work of art.
-
B.
imageDepictedIn
Indicates that a particular image is shown, represented, or included within another resource or context.
-
C.
primaryDepictionWork
Indicates that a work is the main or most significant subject depicted in a given representation or resource.
-
D.
depictsAuthorOf
Indicates that one entity visually represents or portrays the person who is the author of another entity.
-
E.
isDepictedVia
Indicates that one entity is represented, illustrated, or shown by means of another entity, such as a specific medium, style, or method of depiction.
- 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 7:33 p.m.