Triple
T31452400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gladys Kravitz |
E802358
|
entity |
| Predicate | relationshipToMagic |
P139223
|
FINISHED |
| Object | unaware of true cause of events |
—
|
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: unaware of true cause of events | Statement: [Gladys Kravitz, relationshipToMagic, unaware of true cause of events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMagic Context triple: [Gladys Kravitz, relationshipToMagic, unaware of true cause of events]
-
A.
relationshipWithMagic
chosen
Indicates a connection or interaction an entity has with magic, such as using, being affected by, or being inherently tied to magical forces.
-
B.
knowsAboutMagic
Indicates that one entity possesses knowledge or awareness of magic in relation to another entity or context.
-
C.
associatedMystic
Indicates a relationship where one entity is linked or connected to another through a mystical, spiritual, or esoteric association.
-
D.
attitudeTowardMagic
Indicates an entity’s stance, feelings, or disposition toward the use or existence of magic.
-
E.
relationshipTypeWithTiamat
Indicates the specific nature or category of relationship an entity has with Tiamat.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 9:14 p.m.