Triple
T225852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humboldt University of Berlin |
E4311
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Angela 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: Angela Merkel | Statement: [Humboldt University of Berlin, hasNotableAlumni, Angela Merkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela Merkel Context triple: [Humboldt University of Berlin, hasNotableAlumni, Angela 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.
Gerhard Schröder
Gerhard Schröder is a German Social Democratic politician who served as Chancellor of Germany from 1998 to 2005.
-
C.
Helmut Kohl
Helmut Kohl was a long-serving German chancellor best known for overseeing German reunification and shaping the early course of the European Union.
-
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.
Thomas Kretschmann
Thomas Kretschmann is a German actor known for his frequent roles in war and historical films, including notable performances in "The Pianist," "Downfall," and "King Kong."
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c8d97d08190ad7c1c3e9322f34c |
completed | Feb. 28, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35ea15b9c819086b6569a5d19de86 |
completed | Feb. 28, 2026, 9:31 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.