Triple
T24024169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court of Elizabeth I |
E594904
|
entity |
| Predicate | employedPoet |
P89450
|
FINISHED |
| Object | Edmund Spenser |
—
|
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: Edmund Spenser | Statement: [Court of Elizabeth I, employedPoet, Edmund Spenser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedPoet Context triple: [Court of Elizabeth I, employedPoet, Edmund Spenser]
-
A.
employedWriter
chosen
Indicates that a writer is formally employed by a person, organization, or entity to perform writing-related work.
-
B.
employedComposer
Indicates that one entity (such as a person or organization) employs another entity in the role of a composer.
-
C.
employedTo
Indicates that one entity is hired or engaged to perform work, services, or duties for another entity.
-
D.
employedThrough
Indicates that an entity holds a job or work position by means of, or via the arrangement of, another entity (such as an agency, contractor, or intermediary).
-
E.
producedPoet
Indicates that one entity created, authored, or gave rise to a poet.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d769f7248190ae145218fb0e8bbd |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:53 p.m.