Triple
T9482204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Soffel |
E228669
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kate Soffel |
E228669
|
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: Kate Soffel | Statement: [Kate Soffel, name, Kate Soffel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Soffel Context triple: [Kate Soffel, name, Kate Soffel]
-
A.
Kate Soffel
chosen
Kate Soffel is the real-life warden’s wife whose illicit romance with a condemned prisoner inspired the 1984 film "Mrs. Soffel."
-
B.
Erica Lindbeck
Erica Lindbeck is an American voice actress known for her extensive work in anime, video games, and animated series, including prominent roles in titles like Persona 5, Spider-Man, and various Marvel and DC projects.
-
C.
Beth Johanssen
Beth Johanssen is a brilliant young NASA systems operator and communications specialist who is part of the Ares 3 crew in Andy Weir’s science fiction novel "The Martian."
-
D.
Suzanne Verdal
Suzanne Verdal is a Canadian woman best known as the real-life muse who inspired Leonard Cohen’s song “Suzanne.”
-
E.
Jessica Olsson
Jessica Olsson is a Swedish-Kenyan art gallery director best known as the wife of retired NBA star Dirk Nowitzki.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd804af6d08190a281cb27407c791c |
completed | April 1, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2696450e4819086d5aac368127e5f |
completed | April 5, 2026, 1:53 p.m. |
Created at: March 30, 2026, 7:55 p.m.