Triple
T33284811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinxland |
E852150
|
entity |
| Predicate | hasMagicPractitioner |
P202925
|
FINISHED |
| Object | Blinkie |
—
|
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: Blinkie | Statement: [Jinxland, hasMagicPractitioner, Blinkie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMagicPractitioner Context triple: [Jinxland, hasMagicPractitioner, Blinkie]
-
A.
hasAccessToMagic
Indicates that one entity is able to use, interact with, or benefit from magical powers, resources, or abilities associated with another entity or source.
-
B.
hasLimitedMagic
Indicates that an entity possesses magical abilities that are restricted in scope, power, frequency, or conditions of use.
-
C.
hasMagicPotential
Indicates that an entity possesses the capacity or latent ability to use or develop magical powers.
-
D.
knowsAboutMagic
Indicates that one entity possesses knowledge or awareness of magic in relation to another entity or context.
-
E.
usesMagic
Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00d15f7b788190a3bf440be7837192 |
completed | May 10, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_6a00d0f8ef548190b1c15b06164eec4a |
completed | May 10, 2026, 6:39 p.m. |
| PDg | Predicate description generation | batch_6a00d15e82708190b1246937c695da7e |
completed | May 10, 2026, 6:41 p.m. |
Created at: May 1, 2026, 1:32 a.m.