Triple
T2920586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehrlich |
E78710
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ulrich Ehrlich
Ulrich Ehrlich is a person notable enough to be recognized as a significant bearer of the surname Ehrlich.
|
E330782
|
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: Ulrich Ehrlich | Statement: [Ehrlich, hasNotableBearer, Ulrich Ehrlich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulrich Ehrlich Context triple: [Ehrlich, hasNotableBearer, Ulrich Ehrlich]
-
A.
Joachim Ehrlich
Joachim Ehrlich is a notable individual bearing the surname Ehrlich, recognized for his contributions in his respective field.
-
B.
Ludwig Ehrlich
Ludwig Ehrlich was a Polish Jesuit priest, legal scholar, and professor of international law known for his contributions to the development of legal thought in interwar Poland.
-
C.
Hugo Ehrlich
Hugo Ehrlich was a Croatian architect known for his significant contributions to early 20th-century architecture in Zagreb.
-
D.
Friedrich Ehrlich
Friedrich Ehrlich was a German chemist known for his contributions to organic chemistry and the study of amino acids and related compounds.
-
E.
Julius Ehrlich
Julius Ehrlich is a notable individual associated with the surname Ehrlich, recognized as a distinguished bearer of that name.
- 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: Ulrich Ehrlich Triple: [Ehrlich, hasNotableBearer, Ulrich Ehrlich]
Generated description
Ulrich Ehrlich is a person notable enough to be recognized as a significant bearer of the surname Ehrlich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ulrich Ehrlich Target entity description: Ulrich Ehrlich is a person notable enough to be recognized as a significant bearer of the surname Ehrlich.
-
A.
Joachim Ehrlich
Joachim Ehrlich is a notable individual bearing the surname Ehrlich, recognized for his contributions in his respective field.
-
B.
Ludwig Ehrlich
Ludwig Ehrlich was a Polish Jesuit priest, legal scholar, and professor of international law known for his contributions to the development of legal thought in interwar Poland.
-
C.
Hugo Ehrlich
Hugo Ehrlich was a Croatian architect known for his significant contributions to early 20th-century architecture in Zagreb.
-
D.
Friedrich Ehrlich
Friedrich Ehrlich was a German chemist known for his contributions to organic chemistry and the study of amino acids and related compounds.
-
E.
Julius Ehrlich
Julius Ehrlich is a notable individual associated with the surname Ehrlich, recognized as a distinguished bearer of that name.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad96a672f88190851e487dac18d43f |
completed | March 8, 2026, 3:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224a78bbc8190b4f4cdb058d5a176 |
completed | March 12, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_69b22522980c81909f1a1b6510da8489 |
completed | March 12, 2026, 2:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b225c6c2d88190adb381023e0c3219 |
completed | March 12, 2026, 2:32 a.m. |
Created at: March 8, 2026, 2:54 p.m.