Triple
T7136349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulliver's Travels |
E166314
|
entity |
| Predicate | hasIllustrationTradition |
P2386
|
FINISHED |
| Object | numerous illustrated editions |
—
|
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: numerous illustrated editions | Statement: [Gulliver's Travels, hasIllustrationTradition, numerous illustrated editions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIllustrationTradition Context triple: [Gulliver's Travels, hasIllustrationTradition, numerous illustrated editions]
-
A.
hasIconographicTradition
Indicates that an entity is associated with a recognized, recurring set of visual motifs or symbolic representations within a particular artistic or cultural tradition.
-
B.
hasIllustrations
chosen
Indicates that an entity includes or is accompanied by visual illustrations.
-
C.
hasIllustrationsBy
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
D.
paintingTradition
Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
-
E.
hasColorIllustrations
Indicates that an entity contains or includes illustrations rendered in color.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6926d748190bc8c150fc1860531 |
completed | March 27, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:45 p.m.