Triple
T36080688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levitation Charm |
E1043636
|
entity |
| Predicate | hasSubtlety |
P201611
|
FINISHED |
| Object | Requires precise wand movement for stable levitation |
—
|
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: Requires precise wand movement for stable levitation | Statement: [Levitation Charm, hasSubtlety, Requires precise wand movement for stable levitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubtlety Context triple: [Levitation Charm, hasSubtlety, Requires precise wand movement for stable levitation]
-
A.
subtleInDimension
Indicates that one entity differs from another only slightly or imperceptibly along a particular dimension or aspect.
-
B.
hasSubstance
Indicates that one entity contains, consists of, or is composed of a particular substance or material.
-
C.
hasSensibility
Indicates that an entity possesses awareness, responsiveness, or sensitivity to stimuli or experiences.
-
D.
canBeSubduedBy
Indicates that one entity is capable of overpowering, restraining, or otherwise bringing another entity under control.
-
E.
hasSubrole
Indicates that one role functions as a more specific, subordinate, or specialized version of another broader role.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a000be59ad88190a6aa3a42c097796d |
completed | May 10, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_6a000ab6e9bc81908300b81d004e5921 |
completed | May 10, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_6a000be4d3f48190bdecd0a044a0e453 |
completed | May 10, 2026, 4:39 a.m. |
Created at: May 3, 2026, 4:08 p.m.