Triple
T11908341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gruppe Internationale |
E283328
|
entity |
| Predicate | notableMembers |
P304
|
FINISHED |
| Object | Hugo Eberlein |
E445382
|
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 Eberlein | Statement: [Gruppe Internationale, notableMembers, Hugo Eberlein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Eberlein Context triple: [Gruppe Internationale, notableMembers, Hugo Eberlein]
-
A.
Hugo Eberlein
chosen
Hugo Eberlein was a German communist politician and revolutionary who was a founding figure of the early German communist movement.
-
B.
Hugo Becker
Hugo Becker is a French actor known for his roles in international film and television, including appearances in both French productions and American series.
-
C.
Otto Schenk
Otto Schenk is an Austrian actor, director, and comedian renowned for his work in theater and opera, particularly at the Vienna State Opera and the Metropolitan Opera.
-
D.
Hubert Loewenstein
Hubert Loewenstein is a notable individual who bears the Lowenstein surname, recognized as a distinguished representative of that family name.
-
E.
Hermann Hager
Hermann Hager was a German pharmacist and pharmaceutical chemist known for his influential reference works and contributions to pharmaceutical practice in the 19th century.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5264b2081909bda6c24abb89725 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce593bbc8190827ca217f43140b9 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 8, 2026, 9:44 p.m.