Triple
T16761782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camelia Tannis |
E407361
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Andy Anka |
E348761
|
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: Andy Anka | Statement: [Camelia Tannis, spouse, Andy Anka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Anka Context triple: [Camelia Tannis, spouse, Andy Anka]
-
A.
Billy Gussak
Billy Gussak was an American session drummer best known for playing on Bill Haley & His Comets’ landmark rock and roll recording sessions in the 1950s.
-
B.
Amanda Anka
chosen
Amanda Anka is an American actress and producer best known as the wife of actor Jason Bateman and the daughter of singer Paul Anka.
-
C.
Mac Hyman
Mac Hyman was an American novelist best known for his humorous 1954 military comedy novel "No Time for Sergeants," which became a popular stage, film, and television adaptation.
-
D.
Nick Wasicsko
Nick Wasicsko was a young Yonkers, New York mayor known for his pivotal and contentious role in implementing federally mandated public housing desegregation in the late 1980s.
-
E.
Alex Katona
Alex Katona is a central character in the adventure series "High Seas," around whom much of the story’s drama and intrigue revolves.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abed67f88190afb1d392ff01a5e7 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aaf7908481909af31fc2d02f33fb |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.