Triple
T2014954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyeon Schröder-Kim |
E43772
|
entity |
| Predicate | spouseOfOfficeHolder |
P26554
|
FINISHED |
| Object | Chancellor of Germany |
—
|
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: Chancellor of Germany | Statement: [Soyeon Schröder-Kim, spouseOfOfficeHolder, Chancellor of Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfOfficeHolder Context triple: [Soyeon Schröder-Kim, spouseOfOfficeHolder, Chancellor of Germany]
-
A.
spouseOffice
chosen
Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
-
B.
spouseOfHeadOfState
Indicates that one person is the spouse (married partner) of a head of state.
-
C.
spouseOfHonouree
Indicates that one person is the spouse (married partner) of the honouree.
-
D.
spouse
Indicates that two entities are married to each other in a legally or socially recognized partnership.
-
E.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
- 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.