Triple
T606188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Death of Marat |
E11998
|
entity |
| Predicate | iconicFor |
P2007
|
FINISHED |
| Object | image of the French Revolution |
—
|
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: image of the French Revolution | Statement: [The Death of Marat, iconicFor, image of the French Revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconicFor Context triple: [The Death of Marat, iconicFor, image of the French Revolution]
-
A.
iconographyFeature
Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
-
B.
hasIconicStatus
chosen
Indicates that an entity holds a widely recognized, emblematic, or culturally significant status within a particular domain or context.
-
C.
citySymbol
Indicates that one entity serves as the official symbol or emblem representing a particular city.
-
D.
emblemFeatures
Indicates that an emblem includes or displays specific visual elements or characteristics.
-
E.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.