Triple
T520883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Merkel |
E10812
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Merkel |
E805
|
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: Merkel | Statement: [Angela Merkel, familyName, Merkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merkel Context triple: [Angela Merkel, familyName, Merkel]
-
A.
Angela Merkel
chosen
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.
-
B.
Frank-Walter Steinmeier
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.
-
C.
Frau Bundeskanzlerin
Frau Bundeskanzlerin is the formal German mode of address used for a woman serving as the Federal Chancellor of Germany.
-
D.
Olaf Scholz
Olaf Scholz is a German politician from the Social Democratic Party (SPD) who has served as Chancellor of Germany since 2021.
-
E.
Gerhard Schröder
Gerhard Schröder is a German Social Democratic politician who served as Chancellor of Germany from 1998 to 2005.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1a1817c8190a6cc8f423071d3ad |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ab1f95cc8190a6e2dfc3636110b5 |
completed | March 1, 2026, 9:09 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.