Triple
T549553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leaves of Grass |
E11806
|
entity |
| Predicate | hasIllustration |
P2386
|
FINISHED |
| Object | engraved portrait of Walt Whitman in first edition |
—
|
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: engraved portrait of Walt Whitman in first edition | Statement: [Leaves of Grass, hasIllustration, engraved portrait of Walt Whitman in first edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIllustration Context triple: [Leaves of Grass, hasIllustration, engraved portrait of Walt Whitman in first edition]
-
A.
hasIllustrations
chosen
Indicates that an entity includes or is accompanied by visual illustrations.
-
B.
hasIllustrationsBy
Indicates that one entity (such as a work or publication) includes illustrations that were created by another entity (the illustrator).
-
C.
coverArtDepicts
Indicates that the subject cover art visually represents, portrays, or includes the object within its imagery.
-
D.
hasCoverArtFeaturing
Indicates that one entity’s cover art visually features or depicts another entity.
-
E.
isInscribedOn
Indicates that text, symbols, or markings are written, carved, or otherwise permanently placed onto the surface of an object.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49901e4e481909a5ed93c21ab37bd |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494bae210819093c2e0d33a8ca51a |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.