Triple
T13411339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Ehrlich |
E320093
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hugo Ehrlich |
E320093
|
NE FINISHED |
How this triple was built (2 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: Hugo Ehrlich | Statement: [Hugo Ehrlich, name, Hugo Ehrlich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Ehrlich Context triple: [Hugo Ehrlich, name, Hugo Ehrlich]
-
A.
Hugo Ehrlich
chosen
Hugo Ehrlich was a Croatian architect known for his significant contributions to early 20th-century architecture in Zagreb.
-
B.
Ulrich Ehrlich
Ulrich Ehrlich is a person notable enough to be recognized as a significant bearer of the surname Ehrlich.
-
C.
Walter Ehrlich
Walter Ehrlich is an individual notable enough to be recognized as a prominent bearer of the surname Ehrlich.
-
D.
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.
-
E.
Max Westheimer
Max Westheimer was an individual significant enough in his community—likely a local civic or aviation figure—to have an airport named in his honor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307e9b5881908eb2cd9e4fa7c5f2 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:35 p.m.