Triple
T4056122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Folio of Shakespeare |
E84697
|
entity |
| Predicate | hasFrontispiece |
P53052
|
FINISHED |
| Object | engraved portrait of William Shakespeare by Martin Droeshout |
—
|
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 William Shakespeare by Martin Droeshout | Statement: [First Folio of Shakespeare, hasFrontispiece, engraved portrait of William Shakespeare by Martin Droeshout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrontispiece Context triple: [First Folio of Shakespeare, hasFrontispiece, engraved portrait of William Shakespeare by Martin Droeshout]
-
A.
hasFront
Indicates that an entity possesses or is associated with a front-facing side, surface, or portion.
-
B.
hasPrefaceBy
Indicates that a work includes a preface written by a specified person.
-
C.
hasMarginalia
Indicates that one entity (typically a document or page) contains marginal notes, comments, or annotations associated with it.
-
D.
hasProperPreface
Indicates that an entity is accompanied by an appropriate and correctly structured introductory preface.
-
E.
isCoverOf
Indicates that one entity functions as a protective or enclosing layer placed over another entity.
- F. None of above. chosen
Provenance (4 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbabec608190a35d39d3d03b928b |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9fcb31c819098d5287b6fc84f4e |
completed | March 9, 2026, 4:49 p.m. |
Created at: March 9, 2026, 3:38 p.m.