Triple
T27937680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Leech |
E700655
|
entity |
| Predicate | notedForDepicting |
P147574
|
FINISHED |
| Object | contemporary politics in caricature |
—
|
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: contemporary politics in caricature | Statement: [John Leech, notedForDepicting, contemporary politics in caricature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notedForDepicting Context triple: [John Leech, notedForDepicting, contemporary politics in caricature]
-
A.
notableForDepicting
chosen
Indicates that something is recognized or distinguished specifically for portraying or representing a particular subject, theme, or scene.
-
B.
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.
-
C.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
D.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
-
E.
intendedToDepict
Indicates that one entity was purposefully created or selected in order to visually represent or portray 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 7:14 p.m.