Triple
T14502063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Viertel |
E340165
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Salka Viertel |
E429159
|
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: Salka Viertel | Statement: [Peter Viertel, parent, Salka Viertel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salka Viertel Context triple: [Peter Viertel, parent, Salka Viertel]
-
A.
Salka Viertel
chosen
Salka Viertel was an Austrian-American screenwriter and actress best known for her collaborations with Greta Garbo on several classic Hollywood films.
-
B.
Frieda Goren
Frieda Goren is a supporting character in the animated superhero series "Static Shock," known as one of Virgil Hawkins' close friends and confidantes.
-
C.
Lilla Zuckerman
Lilla Zuckerman is a television writer and producer known for her work on series such as Poker Face and other genre and drama shows.
-
D.
Elka Ostrovsky
Elka Ostrovsky is a sharp-tongued, eccentric elderly woman and main character on the sitcom "Hot in Cleveland," portrayed by Betty White.
-
E.
Dorothy Herzka
Dorothy Herzka is an American art professional best known as the wife and longtime partner of pop artist Roy Lichtenstein, with whom she was deeply involved in the contemporary art world.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9b6f7481908b7eb76226a93545 |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.