Triple
T7423929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menzel |
E171320
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Menzel
Michael Menzel is a German board game illustrator and designer best known for creating the acclaimed cooperative game "Legends of Andor."
|
E664793
|
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: Michael Menzel | Statement: [Menzel, hasNotableBearer, Michael Menzel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Menzel Context triple: [Menzel, hasNotableBearer, Michael Menzel]
-
A.
Michael Stütz
Michael Stütz is a German local politician who serves as the mayor of the municipality of Königsbronn in Baden-Württemberg.
-
B.
Michael Hecht
Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
-
C.
Michael Hecht
Michael Hecht is a scientist best known for leading NASA’s MOXIE experiment on the Perseverance rover, which demonstrates in-situ oxygen production on Mars.
-
D.
Martin Klotz
Martin Klotz was an Austrian mountaineer known for being one of the first climbers to reach the summit of the Grossglockner, Austria’s highest peak.
-
E.
Dennis Weilmann
Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
- 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: Michael Menzel Triple: [Menzel, hasNotableBearer, Michael Menzel]
Generated description
Michael Menzel is a German board game illustrator and designer best known for creating the acclaimed cooperative game "Legends of Andor."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Menzel Target entity description: Michael Menzel is a German board game illustrator and designer best known for creating the acclaimed cooperative game "Legends of Andor."
-
A.
Michael Stütz
Michael Stütz is a German local politician who serves as the mayor of the municipality of Königsbronn in Baden-Württemberg.
-
B.
Michael Hecht
Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
-
C.
Michael Hecht
Michael Hecht is a scientist best known for leading NASA’s MOXIE experiment on the Perseverance rover, which demonstrates in-situ oxygen production on Mars.
-
D.
Martin Klotz
Martin Klotz was an Austrian mountaineer known for being one of the first climbers to reach the summit of the Grossglockner, Austria’s highest peak.
-
E.
Dennis Weilmann
Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2eece588190905774e7151edcb8 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8277f749c8190a91f620c71c48433 |
completed | March 28, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69c82817899081909436781c9f249c1d |
completed | March 28, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c828a5c2f88190aedd55d40520c672 |
completed | March 28, 2026, 7:14 p.m. |
Created at: March 27, 2026, 3:12 p.m.