Triple
T26630370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Pevensie |
E668473
|
entity |
| Predicate | returnsToNarnia |
P45021
|
FINISHED |
| Object | Prince Caspian |
—
|
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: Prince Caspian | Statement: [Peter Pevensie, returnsToNarnia, Prince Caspian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnsToNarnia Context triple: [Peter Pevensie, returnsToNarnia, Prince Caspian]
-
A.
meetsFirstInNarnia
Indicates that one entity first encounters or is introduced to another entity specifically within the context or location of Narnia.
-
B.
returnsTo
chosen
Indicates that an entity goes back to a previous location, state, or entity it was associated with before.
-
C.
ageAtFirstVisitToNarnia
Indicates the age a person was when they first visited Narnia.
-
D.
returnsToHogwartsIn
Indicates that an entity goes back to Hogwarts during a specified time or event.
-
E.
تعود_إلى
Indicates that something or someone returns, goes back, or is attributed back to a previous place, state, source, or reference.
- 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_69f61fd623bc819091df736cf3419b99 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 2:24 a.m.