Triple
T17017936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armin Mueller-Stahl |
E412869
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mueller-Stahl
Mueller-Stahl is the surname of Armin Mueller-Stahl, a renowned German actor, painter, and former musician known for his work in both European and Hollywood cinema.
|
E1245529
|
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: Mueller-Stahl | Statement: [Armin Mueller-Stahl, familyName, Mueller-Stahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mueller-Stahl Context triple: [Armin Mueller-Stahl, familyName, Mueller-Stahl]
-
A.
Müller
Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
-
B.
Estermann
Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
-
C.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
D.
Köhler
Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
-
E.
Munnier
Munnier was an architect best known for designing Bangkok’s Democracy Monument, a prominent political and historical landmark in Thailand.
- 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: Mueller-Stahl Triple: [Armin Mueller-Stahl, familyName, Mueller-Stahl]
Generated description
Mueller-Stahl is the surname of Armin Mueller-Stahl, a renowned German actor, painter, and former musician known for his work in both European and Hollywood cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mueller-Stahl Target entity description: Mueller-Stahl is the surname of Armin Mueller-Stahl, a renowned German actor, painter, and former musician known for his work in both European and Hollywood cinema.
-
A.
Müller
Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
-
B.
Estermann
Estermann is a surname most notably associated with mathematician Theodor Estermann, known for his contributions to analytic number theory.
-
C.
Hufstedler
Hufstedler is the surname of Shirley Hufstedler, a prominent American judge and the first U.S. Secretary of Education.
-
D.
Köhler
Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
-
E.
Munnier
Munnier was an architect best known for designing Bangkok’s Democracy Monument, a prominent political and historical landmark in Thailand.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4d6cb881909b64b4368fd97fa9 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011bc4617081908ad2d4c0d35fe98a |
completed | May 10, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011c76d5b88190b5cda571231f5c7e |
completed | May 11, 2026, 12:01 a.m. |
Created at: April 10, 2026, 5:33 a.m.