Triple
T1165836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchess of York |
E24596
|
entity |
| Predicate | modeOfAcquisition |
P25427
|
FINISHED |
| Object | marriage to the Duke of York |
—
|
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: marriage to the Duke of York | Statement: [Duchess of York, modeOfAcquisition, marriage to the Duke of York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfAcquisition Context triple: [Duchess of York, modeOfAcquisition, marriage to the Duke of York]
-
A.
acquisitionType
Indicates the specific kind or category of acquisition relationship that exists between entities (such as a company buying another company, assets, or a controlling stake).
-
B.
acquiredFor
Indicates that one entity obtained or purchased another entity specifically for the benefit, use, or purpose of a third entity.
-
C.
acquisition
Indicates the act or relationship in which one entity obtains ownership or control of another entity, asset, or resource.
-
D.
acquisitionStatus
Indicates the current state or outcome of an acquisition process between entities (e.g., pending, completed, failed, or canceled).
-
E.
acquisitionPattern
Indicates the characteristic way in which one entity acquires or obtains another entity or resource, such as the method, frequency, or structure of the acquisition.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccc62a88190882d8801908015a4 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb548c1481909092626c572d8782 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc8ae87c81908ca5d94f63ad0e80 |
completed | March 1, 2026, 10:24 p.m. |
Created at: March 1, 2026, 7:45 p.m.