Triple
T2014955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyeon Schröder-Kim |
E43772
|
entity |
| Predicate | spouseIs |
P13
|
FINISHED |
| Object | fifth wife of Gerhard Schröder |
—
|
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: fifth wife of Gerhard Schröder | Statement: [Soyeon Schröder-Kim, spouseIs, fifth wife of Gerhard Schröder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseIs Context triple: [Soyeon Schröder-Kim, spouseIs, fifth wife of Gerhard Schröder]
-
A.
spouse
chosen
Indicates that two entities are married to each other in a legally or socially recognized partnership.
-
B.
spouseInstanceOf
Indicates that one entity is the specific spouse (marriage partner) instance of another entity.
-
C.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
D.
spouseType
Indicates the specific role or category of a person within a spousal relationship (e.g., husband, wife, partner).
-
E.
coSpouse
Indicates that two individuals are married to each other as spouses.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b610a88190bc10fd7dda19da08 |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.