Triple
T6091296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiel |
E135771
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Thiel
Michael Thiel is an individual notable enough to be specifically distinguished from others sharing the surname Thiel.
|
E572103
|
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 Thiel | Statement: [Thiel, hasNotableBearer, Michael Thiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Thiel Context triple: [Thiel, hasNotableBearer, Michael Thiel]
-
A.
Carl Thiel
Carl Thiel is a film and television composer known for his work on genre projects including the series adaptation of "From Dusk Till Dawn."
-
B.
Kevin Riepl
Kevin Riepl is an American composer best known for his atmospheric scores for films and video games, including work on titles like Gears of War and various horror and sci-fi projects.
-
C.
Michael Hainisch
Michael Hainisch was an Austrian politician and statesman who served as the first democratically elected President of Austria in the early 20th century.
-
D.
Michael Schroeder
Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
-
E.
Erik Heinrichs
Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
- 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 Thiel Triple: [Thiel, hasNotableBearer, Michael Thiel]
Generated description
Michael Thiel is an individual notable enough to be specifically distinguished from others sharing the surname Thiel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Thiel Target entity description: Michael Thiel is an individual notable enough to be specifically distinguished from others sharing the surname Thiel.
-
A.
Carl Thiel
Carl Thiel is a film and television composer known for his work on genre projects including the series adaptation of "From Dusk Till Dawn."
-
B.
Kevin Riepl
Kevin Riepl is an American composer best known for his atmospheric scores for films and video games, including work on titles like Gears of War and various horror and sci-fi projects.
-
C.
Michael Hainisch
Michael Hainisch was an Austrian politician and statesman who served as the first democratically elected President of Austria in the early 20th century.
-
D.
Michael Schroeder
Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
-
E.
Erik Heinrichs
Erik Heinrichs was a Finnish general and senior military leader who played a key role in directing Finland’s armed forces during World War II.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057aa192081908619d3518d4efa7a |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135879c988190bd35fa01674d6a15 |
completed | March 23, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69c139e500c8819092834f51f3ea3ebc |
completed | March 23, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c13a4fa888819088a4174486427777 |
completed | March 23, 2026, 1:04 p.m. |
Created at: March 22, 2026, 4:12 p.m.