Triple
T21217911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannes Messemer |
E522884
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Messemer
Messemer is a German surname most notably borne by actor Hannes Messemer, known for his roles in mid-20th-century European cinema.
|
E1471270
|
NE FINISHED |
How this triple was built (4 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: Messemer | Statement: [Hannes Messemer, familyName, Messemer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messemer Context triple: [Hannes Messemer, familyName, Messemer]
-
A.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
-
B.
Demeester
Demeester is a surname of likely Flemish or Dutch origin borne by individuals such as Belgian politician Wivina Demeester.
-
C.
Ziethe
Ziethe is a small river in Saxony-Anhalt, Germany, that flows through the town of Köthen and forms part of the local drainage system.
-
D.
Germenzeel
Germenzeel is a small settlement located within the municipality of Mill en Sint Hubert in the province of North Brabant, the Netherlands.
-
E.
Amecke
Amecke is a village and district of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Messemer Triple: [Hannes Messemer, familyName, Messemer]
Generated description
Messemer is a German surname most notably borne by actor Hannes Messemer, known for his roles in mid-20th-century European cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Messemer Target entity description: Messemer is a German surname most notably borne by actor Hannes Messemer, known for his roles in mid-20th-century European cinema.
-
A.
Meesseman
Meesseman is the surname of Belgian professional basketball star Emma Meesseman, known for her success in European leagues and the WNBA.
-
B.
Demeester
Demeester is a surname of likely Flemish or Dutch origin borne by individuals such as Belgian politician Wivina Demeester.
-
C.
Ziethe
Ziethe is a small river in Saxony-Anhalt, Germany, that flows through the town of Köthen and forms part of the local drainage system.
-
D.
Germenzeel
Germenzeel is a small settlement located within the municipality of Mill en Sint Hubert in the province of North Brabant, the Netherlands.
-
E.
Amecke
Amecke is a village and district of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097edb6de4819094cf7a50670afdfa |
completed | May 17, 2026, 8:39 a.m. |
| NEDg | Description generation | batch_6a097f5016348190aeb01856a5c57b41 |
completed | May 17, 2026, 8:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a097fe399048190a1b29f16d8e46d8d |
completed | May 17, 2026, 8:44 a.m. |
Created at: April 16, 2026, 3:42 p.m.