Triple
T19362784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotte Lenya |
E484322
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Lotte Lenja |
—
|
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: Lotte Lenja | Statement: [Lotte Lenya, alsoKnownAs, Lotte Lenja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lotte Lenja Context triple: [Lotte Lenya, alsoKnownAs, Lotte Lenja]
-
A.
Lotte Stahl
Lotte Stahl was the wife of German chemist and Nobel laureate Eduard Buchner.
-
B.
Lina Loos
Lina Loos was an Austrian actress and writer associated with Vienna’s early 20th-century cultural scene and known for her marriage to architect Adolf Loos.
-
C.
Lotte Schoen
Lotte Schoen is a character in Peter Shaffer’s play "Lettice and Lovage," serving as a stern, bureaucratic foil to the flamboyant protagonist, Lettice Douffet.
-
D.
Lotte Walter
Lotte Walter was the daughter of renowned German-born conductor and composer Bruno Walter.
-
E.
Lotte Lenya
chosen
Lotte Lenya was an Austrian-American singer and actress best known for her collaborations with composer Kurt Weill and her iconic role as the villain Rosa Klebb in the James Bond film "From Russia with Love."
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619a897008190a2c62a50ca60de2d |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:34 p.m.