Triple
T12679766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Viennese School |
E302914
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Karl Rankl |
E1176908
|
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: Karl Rankl | Statement: [Second Viennese School, notableMember, Karl Rankl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Rankl Context triple: [Second Viennese School, notableMember, Karl Rankl]
-
A.
Karl Rankl
chosen
Karl Rankl was an Austrian-born conductor and composer best known for his influential post-war work in British orchestral and operatic music.
-
B.
Fritz Luchsinger
Fritz Luchsinger was a Swiss mountaineer best known as one of the first climbers to reach the summit of Lhotse, the world’s fourth-highest mountain.
-
C.
Fritz Loerzer
Fritz Loerzer was a German military officer and World War II Luftwaffe general.
-
D.
Helmut Veith
Helmut Veith was an Austrian computer scientist renowned for his contributions to logic in computer science, formal verification, and model checking.
-
E.
Julius Schaub
Julius Schaub was a close associate and chief aide to Adolf Hitler, serving as his personal adjutant and loyal confidant throughout the Nazi era.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b1dff48190923290555ece5d89 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004568c93c81908450887f72de8466 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 9, 2026, 5:21 p.m.