Triple
T14129166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Brierley |
E340115
|
entity |
| Predicate | adoptionType |
P112915
|
FINISHED |
| Object | international adoption |
—
|
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: international adoption | Statement: [John Brierley, adoptionType, international adoption]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptionType Context triple: [John Brierley, adoptionType, international adoption]
-
A.
adoption
Indicates the legal or formal act by which one party assumes parental or custodial responsibility for another, typically a child, creating a recognized parent–child relationship.
-
B.
adoptionStatus
Indicates the current state or outcome of an adoption relationship or process between entities.
-
C.
adopts
Indicates that one entity formally takes another into its care, control, or use, assuming ongoing responsibility or ownership.
-
D.
adoptionResult
Indicates the outcome or status resulting from an adoption process between entities.
-
E.
adoptionFrequency
Indicates how often an entity adopts or takes on another entity, such as a practice, item, or individual, over a given period.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:23 p.m.