Triple
T17284805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monika Hohlmeier |
E419625
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Monika Hohlmeier |
E419625
|
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: Monika Hohlmeier | Statement: [Monika Hohlmeier, name, Monika Hohlmeier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monika Hohlmeier Context triple: [Monika Hohlmeier, name, Monika Hohlmeier]
-
A.
Monika Hohlmeier
chosen
Monika Hohlmeier is a German politician from the Christian Social Union (CSU) who has served as a Member of the European Parliament, known for her work on budgetary control and civil liberties.
-
B.
Monika Willi
Monika Willi is an acclaimed Austrian film editor known for her work on numerous internationally recognized art-house and auteur films.
-
C.
Monika Thiel
Monika Thiel is a person notable enough to be recognized as a significant bearer of the surname Thiel.
-
D.
Heike Drechsler
Heike Drechsler is a German former track and field athlete best known as one of history’s greatest long jumpers, winning multiple Olympic and World Championship titles.
-
E.
Juliane Köhler
Juliane Köhler is a German actress known for her acclaimed performances in film, television, and theater, including award-winning roles in internationally recognized German cinema.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332cabdc8190bbc711ab806d53bf |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c407fe8819095b16b171f29cf1b |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:40 a.m.