Triple
T6091289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiel |
E135771
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Andreas Thiel
Andreas Thiel is a notable individual whose identity is associated with the surname Thiel, recognized for achievements that distinguish him among bearers of the name.
|
E569798
|
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: Andreas Thiel | Statement: [Thiel, hasNotableBearer, Andreas Thiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andreas Thiel Context triple: [Thiel, hasNotableBearer, Andreas Thiel]
-
A.
Jürgen Schmidt
Jürgen Schmidt is a personal name shared by multiple individuals, including professionals and public figures in German-speaking countries.
-
B.
Christian Scholz
Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
-
C.
Christian Zurbuchen
Christian Zurbuchen was a mountaineer known for making the first recorded ascent of the challenging Caucasus peak Mount Ushba.
-
D.
Jochen Kuttler
Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
-
E.
Florian Ballhaus
Florian Ballhaus is a German cinematographer known for his work on major Hollywood films and television series.
- 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: Andreas Thiel Triple: [Thiel, hasNotableBearer, Andreas Thiel]
Generated description
Andreas Thiel is a notable individual whose identity is associated with the surname Thiel, recognized for achievements that distinguish him among bearers of the name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andreas Thiel Target entity description: Andreas Thiel is a notable individual whose identity is associated with the surname Thiel, recognized for achievements that distinguish him among bearers of the name.
-
A.
Jürgen Schmidt
Jürgen Schmidt is a personal name shared by multiple individuals, including professionals and public figures in German-speaking countries.
-
B.
Christian Scholz
Christian Scholz is a German computer scientist and open-source developer known for his contributions to web technologies and social software.
-
C.
Christian Zurbuchen
Christian Zurbuchen was a mountaineer known for making the first recorded ascent of the challenging Caucasus peak Mount Ushba.
-
D.
Jochen Kuttler
Jochen Kuttler is a German local politician who serves as the mayor of the town of Wadern in Saarland.
-
E.
Florian Ballhaus
Florian Ballhaus is a German cinematographer known for his work on major Hollywood films and television series.
- 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_69c12531d764819083e1bb37d8c81a6c |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c12964de988190a9673abe4140980e |
completed | March 23, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129d7cd348190963e1a266d5e88ae |
completed | March 23, 2026, 11:53 a.m. |
Created at: March 22, 2026, 4:12 p.m.