Triple
T7092412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sybylla Melvyn |
E165227
|
entity |
| Predicate | dreamsOf |
P69553
|
FINISHED |
| Object | literary career |
—
|
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: literary career | Statement: [Sybylla Melvyn, dreamsOf, literary career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dreamsOf Context triple: [Sybylla Melvyn, dreamsOf, literary career]
-
A.
dream
chosen
Indicates that an entity experiences or has a dream involving another entity or concept.
-
B.
interpretedDreamFor
Indicates that one entity has provided an explanation or analysis of the meaning of another entity’s dream.
-
C.
hasDreamingBeliefs
Indicates that an entity holds beliefs, views, or assumptions specifically about dreams or the nature of dreaming.
-
D.
numberOfVisions
Indicates the quantity of visions experienced or associated with an entity.
-
E.
hasVisionOf
Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e532513c8190968eea8a0d3235a0 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.