Triple
T12515638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EdDSA |
E299184
|
entity |
| Predicate | introducedBy |
P513
|
FINISHED |
| Object | Tanja Lange |
E808992
|
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: Tanja Lange | Statement: [EdDSA, introducedBy, Tanja Lange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanja Lange Context triple: [EdDSA, introducedBy, Tanja Lange]
-
A.
Tanja Lange
chosen
Tanja Lange is a cryptographer known for her work on elliptic-curve cryptography and contributions to practical, high-security cryptographic software.
-
B.
Anja Tschimiakin
Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
-
C.
Michaela Reichelt
Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
-
D.
Erika Grünlich
Erika Grünlich is a fictional character in Thomas Mann's novel "Buddenbrooks," known as the daughter of Tony Buddenbrook and a member of the declining Lübeck merchant family.
-
E.
Heike Drechsler
Heike Drechsler is a German former track and field athlete best known as one of history’s greatest long jumpers, winning multiple Olympic and World Championship titles.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541f80148190976d1d912fe155d0 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b82189081908deb76cdd4e65245 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 8, 2026, 9:57 p.m.