Triple
T14932638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Hellmut Kirst |
E372306
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kirst
Kirst is a German surname most notably associated with Hans Hellmut Kirst, a prolific 20th-century novelist known for his works about World War II and the German military.
|
E1128777
|
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: Kirst | Statement: [Hans Hellmut Kirst, familyName, Kirst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirst Context triple: [Hans Hellmut Kirst, familyName, Kirst]
-
A.
Kirsten
Kirsten is the first name of Kirsten Gillibrand, a prominent American politician and U.S. Senator from New York.
-
B.
Kaela
Kaela is the given name of American professional basketball player Kaela Davis.
-
C.
Krysty
Krysty is a given name most notably borne by Scottish screenwriter Krysty Wilson-Cairns, known for co-writing the film "1917."
-
D.
Kari
Kari is a Finnish given name commonly used for both males and females.
-
E.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
- 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: Kirst Triple: [Hans Hellmut Kirst, familyName, Kirst]
Generated description
Kirst is a German surname most notably associated with Hans Hellmut Kirst, a prolific 20th-century novelist known for his works about World War II and the German military.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kirst Target entity description: Kirst is a German surname most notably associated with Hans Hellmut Kirst, a prolific 20th-century novelist known for his works about World War II and the German military.
-
A.
Kirsten
Kirsten is the first name of Kirsten Gillibrand, a prominent American politician and U.S. Senator from New York.
-
B.
Kaela
Kaela is the given name of American professional basketball player Kaela Davis.
-
C.
Krysty
Krysty is a given name most notably borne by Scottish screenwriter Krysty Wilson-Cairns, known for co-writing the film "1917."
-
D.
Kari
Kari is a Finnish given name commonly used for both males and females.
-
E.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8ac6d08190809045a6d00a3d47 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7fe58ba481908ac8e4112c28c279 |
completed | May 9, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe80be100481908dcf07b683fc1411 |
completed | May 9, 2026, 12:33 a.m. |
Created at: April 10, 2026, 2:37 a.m.