Triple
T22037255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kohn |
E544243
|
entity |
| Predicate | isSurnameOf |
P37098
|
FINISHED |
| Object |
Alfred Kohn
Alfred Kohn was a Czech histologist and anatomist known for his pioneering research on endocrine glands, particularly the parathyroid glands and chromaffin tissue.
|
E1587796
|
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: Alfred Kohn | Statement: [Kohn, isSurnameOf, Alfred Kohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfred Kohn Context triple: [Kohn, isSurnameOf, Alfred Kohn]
-
A.
Georg Kahn-Ackermann
Georg Kahn-Ackermann was a German diplomat and politician who served as Secretary General of the Council of Europe in the mid-20th century.
-
B.
Walter Blum
Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
-
C.
Karl Hirsch
Karl Hirsch is a personal name that may refer to various individuals, such as professionals, artists, or public figures, rather than a single widely recognized person.
-
D.
Walter Reder
Walter Reder was an Austrian SS officer and war criminal notorious for leading brutal anti-partisan operations in Italy during World War II.
-
E.
Kurt Albrecht
Kurt Albrecht is a film producer known for his work on the animated feature "The Mitchells vs. the Machines."
- 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: Alfred Kohn Triple: [Kohn, isSurnameOf, Alfred Kohn]
Generated description
Alfred Kohn was a Czech histologist and anatomist known for his pioneering research on endocrine glands, particularly the parathyroid glands and chromaffin tissue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfred Kohn Target entity description: Alfred Kohn was a Czech histologist and anatomist known for his pioneering research on endocrine glands, particularly the parathyroid glands and chromaffin tissue.
-
A.
Georg Kahn-Ackermann
Georg Kahn-Ackermann was a German diplomat and politician who served as Secretary General of the Council of Europe in the mid-20th century.
-
B.
Walter Blum
Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
-
C.
Karl Hirsch
Karl Hirsch is a personal name that may refer to various individuals, such as professionals, artists, or public figures, rather than a single widely recognized person.
-
D.
Walter Reder
Walter Reder was an Austrian SS officer and war criminal notorious for leading brutal anti-partisan operations in Italy during World War II.
-
E.
Kurt Albrecht
Kurt Albrecht is a film producer known for his work on the animated feature "The Mitchells vs. the Machines."
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f32edc81909b6898af6621f56f |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c82286c908190b72cf03cb3094a40 |
completed | May 19, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_6a0ca6eda1f481908482f3a66d576c3c |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7bdf7f08190b50191b029480fc5 |
completed | May 19, 2026, 6:11 p.m. |
Created at: April 16, 2026, 8:25 p.m.