Triple
T6294156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eckert |
E141088
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Eckert
Michael Eckert is a German historian of science known for his research on the history of physics, particularly fluid dynamics and the work of Ludwig Prandtl.
|
E590771
|
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 Eckert | Statement: [Eckert, hasNotableBearer, Michael Eckert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Eckert Context triple: [Eckert, hasNotableBearer, Michael Eckert]
-
A.
Michael Ehrlich
Michael Ehrlich is a relatively obscure individual whose primary public mention appears to be as a namesake associated with the surname Ehrlich.
-
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.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
E.
Michael Lehmann
Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
- 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 Eckert Triple: [Eckert, hasNotableBearer, Michael Eckert]
Generated description
Michael Eckert is a German historian of science known for his research on the history of physics, particularly fluid dynamics and the work of Ludwig Prandtl.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Eckert Target entity description: Michael Eckert is a German historian of science known for his research on the history of physics, particularly fluid dynamics and the work of Ludwig Prandtl.
-
A.
Michael Ehrlich
Michael Ehrlich is a relatively obscure individual whose primary public mention appears to be as a namesake associated with the surname Ehrlich.
-
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.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
E.
Michael Lehmann
Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06438654481908c9833c5f0d61773 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6385c26f08190952d810a82b9236f |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c63b8ef91881909aa61754c123ac24 |
completed | March 27, 2026, 8:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63c067c648190b6f4ac822d038900 |
completed | March 27, 2026, 8:12 a.m. |
Created at: March 22, 2026, 4:27 p.m.