Triple
T33284730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | castle of the Wicked Witch of the West |
E852148
|
entity |
| Predicate | controlChangesTo |
P196708
|
FINISHED |
| Object | Winkies |
—
|
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: Winkies | Statement: [castle of the Wicked Witch of the West, controlChangesTo, Winkies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlChangesTo Context triple: [castle of the Wicked Witch of the West, controlChangesTo, Winkies]
-
A.
controlChange
chosen
Indicates a change in who has authority, influence, or command over something or someone.
-
B.
exportControl
Indicates that an entity is subject to rules or restrictions governing the transfer or export of goods, services, or information across borders.
-
C.
controlRange
Indicates the spatial or contextual extent within which an entity can exert control or influence over another entity or process.
-
D.
controlDirection
Indicates that one entity exerts influence or guidance over the orientation, course, or movement direction of another entity.
-
E.
controlMethods
Indicates the methods or techniques used by one entity to direct, regulate, or influence the behavior, operation, or state of another 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: May 1, 2026, 1:32 a.m.