Triple
T26630372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pevensie |
E668473
|
entity |
| Predicate | appearsInFormOfMemoryOrVision |
P139221
|
FINISHED |
| Object | The Voyage of the Dawn Treader |
—
|
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: The Voyage of the Dawn Treader | Statement: [Peter Pevensie, appearsInFormOfMemoryOrVision, The Voyage of the Dawn Treader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFormOfMemoryOrVision Context triple: [Peter Pevensie, appearsInFormOfMemoryOrVision, The Voyage of the Dawn Treader]
-
A.
portrayedInFlashbacks
Indicates that an entity appears or is depicted specifically within flashback scenes of a narrative work.
-
B.
containsVisionOf
Indicates that one entity includes, depicts, or embodies a visual representation or image of another entity.
-
C.
appearsInMemoryOf
chosen
Indicates that one entity is present or recalled within another entity’s memory or recollection.
-
D.
regainsMemories
Indicates that an entity recovers previously lost or forgotten memories.
-
E.
retainsMemoriesOf
Indicates that one entity continues to hold or preserve memories about another entity or about events involving that entity.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 2:24 a.m.