Triple
T17637724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georg Ehrlich |
E430140
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Georg Ehrlich |
—
|
NE NERFINISHED |
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: Georg Ehrlich | Statement: [Georg Ehrlich, name, Georg Ehrlich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georg Ehrlich Context triple: [Georg Ehrlich, name, Georg Ehrlich]
-
A.
Georg Ehrlich
chosen
Georg Ehrlich was an Austrian-born sculptor and graphic artist known for his expressive bronze figures and contributions to 20th-century European art.
-
B.
Louis Gruenberg
Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
-
C.
Paul Eckstein
Paul Eckstein is a television writer and producer best known for co-creating the crime drama series "Godfather of Harlem."
-
D.
Karl Weil
Karl Weil is an individual notable enough to be recognized as a bearer of the surname Weil, though specific widely known biographical details about him are not readily documented.
-
E.
Walter Blum
Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de1e0888190a3c8bbd451aed2fb |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.