Triple
T21217909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannes Messemer |
E522884
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hannes Messemer |
—
|
NE NERFINISHED |
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: Hannes Messemer | Statement: [Hannes Messemer, name, Hannes Messemer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannes Messemer Context triple: [Hannes Messemer, name, Hannes Messemer]
-
A.
Hannes Messemer
chosen
Hannes Messemer was a German actor best known for his roles in postwar European cinema, particularly in war and drama films.
-
B.
Jens Metzger
Jens Metzger is a German local politician who serves as the mayor of the town of Crailsheim in the state of Baden-Württemberg.
-
C.
Karsten Mußler
Karsten Mußler is a German local politician who serves as the mayor of the town of Kuppenheim in Baden-Württemberg.
-
D.
Markus Knüfken
Markus Knüfken is a German actor known for his roles in film and television since the 1990s.
-
E.
Hannes Jaenicke
Hannes Jaenicke is a German actor and documentary filmmaker known for his roles in film and television as well as his environmental activism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7347613308190a1c9f4ea51591d4b |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:42 p.m.