Triple
T9083618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin |
E217694
|
entity |
| Predicate | headOfGovernment |
P307
|
FINISHED |
| Object | Kai Wegner |
E694701
|
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: Kai Wegner | Statement: [Berlin, headOfGovernment, Kai Wegner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kai Wegner Context triple: [Berlin, headOfGovernment, Kai Wegner]
-
A.
Kai Wegner
chosen
Kai Wegner is a German politician from the Christian Democratic Union (CDU) who serves as the Governing Mayor of Berlin.
-
B.
Kai Wiesinger
Kai Wiesinger is a German actor known for his roles in film and television, often appearing in historical dramas and popular German cinema.
-
C.
Jan Wagner
Jan Wagner is a contemporary German poet and essayist renowned for his finely crafted, image-rich verse and significant contributions to modern German-language literature.
-
D.
Finn Wittrock
Finn Wittrock is an American actor known for his versatile performances in film, television, and theater, including prominent roles in multiple seasons of "American Horror Story" and the film "The Big Short."
-
E.
Tim Kiefer
Tim Kiefer is an American composer best known for creating the distinctive, genre-blending musical score for the animated television series "Adventure Time."
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960b45fc8190adf4bdc41b103e86 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe30093481908b3ec394cf585642 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:13 p.m.