Triple
T23722986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A True & Faithful Relation of What Passed for Many Yeers Between Dr. John Dee and Some Spirits |
E586194
|
entity |
| Predicate | featuresScryer |
P80690
|
FINISHED |
| Object | Edward Kelley |
—
|
NE NERFINISHED |
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: Edward Kelley | Statement: [A True & Faithful Relation of What Passed for Many Yeers Between Dr. John Dee and Some Spirits, featuresScryer, Edward Kelley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresScryer Context triple: [A True & Faithful Relation of What Passed for Many Yeers Between Dr. John Dee and Some Spirits, featuresScryer, Edward Kelley]
-
A.
featuresIn
chosen
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
B.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
C.
featuresDemon
Indicates that an entity includes, depicts, or prominently involves a demon.
-
D.
featuresSign
Indicates that an entity includes, displays, or incorporates a particular sign as part of its appearance, content, or design.
-
E.
featuresStringSection
Indicates that an entity includes or is associated with a specific section of text represented as a string.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b912a7548190afcfa03dd9adc47e |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:05 p.m.