Triple
T14690847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sycorax |
E345027
|
entity |
| Predicate | primarySourcesForCharacter |
P115357
|
FINISHED |
| Object | Prospero’s speeches |
—
|
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: Prospero’s speeches | Statement: [Sycorax, primarySourcesForCharacter, Prospero’s speeches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySourcesForCharacter Context triple: [Sycorax, primarySourcesForCharacter, Prospero’s speeches]
-
A.
primarySources
Indicates that one entity serves as an original, authoritative source of information or evidence for another entity.
-
B.
biblicalSourceCharacter
Indicates that one entity is the character or figure that serves as the source or origin for another entity within a biblical context.
-
C.
originOfCharacter
Indicates the source or place from which a character originates or is created.
-
D.
narrativeSourceCharacter
Indicates that a particular character serves as the source or narrator from whose perspective the narrative is presented.
-
E.
fictionalCharacterAssociatedWith
Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.