Triple
T16708831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Anka |
E406045
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Anna Anka |
E406045
|
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: Anna Anka | Statement: [Anna Anka, name, Anna Anka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Anka Context triple: [Anna Anka, name, Anna Anka]
-
A.
Anna Anka
chosen
Anna Anka is a Swedish-American model, actress, and reality television personality who gained wider attention through her marriage to singer Paul Anka and appearances on Scandinavian reality TV.
-
B.
Amelia Anka
Amelia Anka is a member of the Anka family, known for its entertainment-industry connections through figures like her sister Amanda Anka and father Paul Anka.
-
C.
Hanna Hilsdorf
Hanna Hilsdorf is a German actress known for her role in the crime drama film "In the Fade" and for her work in contemporary German cinema and television.
-
D.
Anna Gerb
Anna Gerb is a film producer best known for her work on acclaimed independent dramas and thrillers, including collaborations with director J.C. Chandor.
-
E.
Bibi Vogel
Bibi Vogel was a Brazilian singer and actress best known for her work in popular music and television during the 1960s and 1970s.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38650c3808190a561f22b169dc3ae |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aaed833c8190ab8a724d279dc52d |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:20 a.m.