Triple
T2920587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehrlich |
E78710
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Walter Ehrlich
Walter Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
|
E333285
|
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: Walter Ehrlich | Statement: [Ehrlich, hasNotableBearer, Walter Ehrlich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Ehrlich Context triple: [Ehrlich, hasNotableBearer, Walter Ehrlich]
-
A.
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.
-
B.
Ulrich Ehrlich
Ulrich Ehrlich is a person notable enough to be recognized as a significant bearer of the surname Ehrlich.
-
C.
Hugo Ehrlich
Hugo Ehrlich was a Croatian architect known for his significant contributions to early 20th-century architecture in Zagreb.
-
D.
Joachim Ehrlich
Joachim Ehrlich is a notable individual bearing the surname Ehrlich, recognized for his contributions in his respective field.
-
E.
Tadeus Reichstein
Tadeus Reichstein was a Polish-Swiss chemist and Nobel laureate renowned for his work on the synthesis of vitamin C and adrenal cortex hormones.
- 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: Walter Ehrlich Triple: [Ehrlich, hasNotableBearer, Walter Ehrlich]
Generated description
Walter Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Walter Ehrlich Target entity description: Walter Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
-
A.
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.
-
B.
Ulrich Ehrlich
Ulrich Ehrlich is a person notable enough to be recognized as a significant bearer of the surname Ehrlich.
-
C.
Hugo Ehrlich
Hugo Ehrlich was a Croatian architect known for his significant contributions to early 20th-century architecture in Zagreb.
-
D.
Joachim Ehrlich
Joachim Ehrlich is a notable individual bearing the surname Ehrlich, recognized for his contributions in his respective field.
-
E.
Tadeus Reichstein
Tadeus Reichstein was a Polish-Swiss chemist and Nobel laureate renowned for his work on the synthesis of vitamin C and adrenal cortex hormones.
- 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_69b2358bd4cc81908970e1d3cdc95b5d |
completed | March 12, 2026, 3:39 a.m. |
| NEDg | Description generation | batch_69b236e4efe08190ade7c1cc4b941639 |
completed | March 12, 2026, 3:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2375a75488190b3f2215c85d43f9c |
completed | March 12, 2026, 3:47 a.m. |
Created at: March 8, 2026, 2:54 p.m.