Triple
T6934459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elke Büdenbender |
E160517
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Frank-Walter Steinmeier |
E31613
|
NE 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: Frank-Walter Steinmeier | Statement: [Elke Büdenbender, spouse, Frank-Walter Steinmeier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frank-Walter Steinmeier Context triple: [Elke Büdenbender, spouse, Frank-Walter Steinmeier]
-
A.
Frank-Walter Steinmeier
chosen
Frank-Walter Steinmeier is a German politician and diplomat who has served as the President of Germany since 2017 and was previously the country’s foreign minister.
-
B.
Joachim Gauck
Joachim Gauck is a German Protestant pastor, former civil rights activist in East Germany, and the 11th President of Germany, serving from 2012 to 2017.
-
C.
Olaf Scholz
Olaf Scholz is a German politician from the Social Democratic Party (SPD) who has served as Chancellor of Germany since 2021.
-
D.
Angela Merkel
Angela Merkel is a German politician who served as Chancellor of Germany from 2005 to 2021 and became one of the most influential leaders in Europe and the world.
-
E.
Una Merkel
Una Merkel was an American stage and film actress best known for her sharp comic timing and memorable supporting roles in Hollywood films of the 1930s and 1940s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da415b1481908d70b92ecd5fd8e6 |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7585e45448190accdddcbb4bd69ed |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:27 p.m.