Triple
T9311937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TweetNaCl |
E224026
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object |
Tanja Lange
Tanja Lange is a cryptographer known for her work on elliptic-curve cryptography and contributions to practical, high-security cryptographic software.
|
E808992
|
NE FINISHED |
How this triple was built (4 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: [TweetNaCl, hasAuthor, Tanja Lange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanja Lange Context triple: [TweetNaCl, hasAuthor, Tanja Lange]
-
A.
Anja Tschimiakin
Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
-
B.
Michaela Reichelt
Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
-
C.
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.
-
D.
Tanja Stomporowski
Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
-
E.
Verena Rehm
Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tanja Lange Triple: [TweetNaCl, hasAuthor, Tanja Lange]
Generated description
Tanja Lange is a cryptographer known for her work on elliptic-curve cryptography and contributions to practical, high-security cryptographic software.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanja Lange Target entity description: Tanja Lange is a cryptographer known for her work on elliptic-curve cryptography and contributions to practical, high-security cryptographic software.
-
A.
Anja Tschimiakin
Anja Tschimiakin was the first wife of Russian abstract art pioneer Wassily Kandinsky.
-
B.
Michaela Reichelt
Michaela Reichelt is a German local politician who serves as the mayor of the municipality of Inning am Ammersee in Bavaria.
-
C.
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.
-
D.
Tanja Stomporowski
Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
-
E.
Verena Rehm
Verena Rehm is a German singer and songwriter best known as the female vocalist for the Eurodance project Groove Coverage.
- F. None of above. chosen
Provenance (5 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20ae96e481909a1af9ea1c91f2b2 |
completed | April 1, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16110ecb08190a5f456a4a68afabb |
completed | April 4, 2026, 7:05 p.m. |
| NEDg | Description generation | batch_69d16557ae088190a0d40bd10495b57c |
completed | April 4, 2026, 7:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d165b0ce8c819099ef178496bb281a |
completed | April 4, 2026, 7:25 p.m. |
Created at: March 30, 2026, 7:37 p.m.