Triple
T16123203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irma von Cube |
E391196
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Irma von Cube |
E391196
|
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: Irma von Cube | Statement: [Irma von Cube, name, Irma von Cube]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irma von Cube Context triple: [Irma von Cube, name, Irma von Cube]
-
A.
Irma von Cube
chosen
Irma von Cube was a German-American screenwriter best known for her Academy Award–nominated work on the 1948 film "Johnny Belinda."
-
B.
Ursula Mamlok
Ursula Mamlok was a German-American composer known for her refined, modernist chamber and orchestral works that often employed serial techniques with expressive lyricism.
-
C.
Ursula Karven
Ursula Karven is a German actress, model, and yoga instructor known for her roles in German television series and films as well as for her popular yoga books and DVDs.
-
D.
Julie von Webenau
Julie von Webenau was a 19th-century Austrian pianist and composer known for her salon pieces and connections with prominent Romantic-era musicians.
-
E.
Gui Bonsiepe
Gui Bonsiepe is a German designer, design theorist, and educator known for his influential work in interface and information design and his contributions to design education, particularly in Latin America.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202027e78819091192aa62aedde13 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a9db848190bafb959bd7511246 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.