Triple
T24429042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Osbourne |
E615939
|
entity |
| Predicate | controlsTransformationWith |
P109214
|
FINISHED |
| Object | meditation |
—
|
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: meditation | Statement: [Daniel Osbourne, controlsTransformationWith, meditation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsTransformationWith Context triple: [Daniel Osbourne, controlsTransformationWith, meditation]
-
A.
controlsWith
chosen
Indicates that one entity exercises authority, direction, or regulatory power over another entity through specific means or mechanisms.
-
B.
controlFrom
Indicates that one entity exercises authority, influence, or regulatory power over another entity or process.
-
C.
exportControl
Indicates that an entity is subject to rules or restrictions governing the transfer or export of goods, services, or information across borders.
-
D.
controlledFor
Indicates that the influence or effect of a specified factor has been accounted for or neutralized when assessing the relationship between other variables or entities.
-
E.
controlInteraction
Indicates an interaction in which one entity directs, regulates, or constrains the behavior or state of another.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a983d88190904b559694363a19 |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:15 a.m.