Triple
T5470081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armin Hansen |
E122808
|
entity |
| Predicate | studiedUnder |
P7251
|
FINISHED |
| Object |
Carlos Holzwarth
Carlos Holzwarth was an art instructor and mentor known for teaching and influencing painter Armin Hansen.
|
E595404
|
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: Carlos Holzwarth | Statement: [Armin Hansen, studiedUnder, Carlos Holzwarth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlos Holzwarth Context triple: [Armin Hansen, studiedUnder, Carlos Holzwarth]
-
A.
Arthur Hohl
Arthur Hohl was an American character actor known for his supporting roles in numerous Hollywood films during the 1930s and 1940s.
-
B.
Oscar Neebe
Oscar Neebe was an American labor activist and anarchist who was controversially convicted in connection with the 1886 Haymarket affair in Chicago.
-
C.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
-
D.
Walter Scheib
Walter Scheib was an American chef best known for serving as the White House Executive Chef for the Clinton and George W. Bush administrations.
-
E.
Gustav Kleikamp
Gustav Kleikamp was a German naval officer and rear admiral in the Kriegsmarine during World War II, known for commanding forces in the opening attack on Poland.
- 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: Carlos Holzwarth Triple: [Armin Hansen, studiedUnder, Carlos Holzwarth]
Generated description
Carlos Holzwarth was an art instructor and mentor known for teaching and influencing painter Armin Hansen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carlos Holzwarth Target entity description: Carlos Holzwarth was an art instructor and mentor known for teaching and influencing painter Armin Hansen.
-
A.
Arthur Hohl
Arthur Hohl was an American character actor known for his supporting roles in numerous Hollywood films during the 1930s and 1940s.
-
B.
Oscar Neebe
Oscar Neebe was an American labor activist and anarchist who was controversially convicted in connection with the 1886 Haymarket affair in Chicago.
-
C.
George Boemler
George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
-
D.
Walter Scheib
Walter Scheib was an American chef best known for serving as the White House Executive Chef for the Clinton and George W. Bush administrations.
-
E.
Gustav Kleikamp
Gustav Kleikamp was a German naval officer and rear admiral in the Kriegsmarine during World War II, known for commanding forces in the opening attack on Poland.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd921b65f48190af7fcf89140f9ba8 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6536fc20c81909b6c57d559880877 |
completed | March 27, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_69c6541014d88190a80baa7f5e94a7d8 |
completed | March 27, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c655140fbc8190ab8248a9e0c3de71 |
completed | March 27, 2026, 9:59 a.m. |
Created at: March 20, 2026, 2:09 p.m.