Triple
T14366606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katia Winter |
E356250
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Katia Winter |
E356250
|
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: Katia Winter | Statement: [Katia Winter, name, Katia Winter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katia Winter Context triple: [Katia Winter, name, Katia Winter]
-
A.
Katia Winter
chosen
Katia Winter is a Swedish actress best known for her roles in television series such as Sleepy Hollow and Dexter.
-
B.
Katia Behrens
Katia Behrens is a notable individual who bears the surname Behrens, recognized for her significance among people with that name.
-
C.
Tatiana Schucht
Tatiana Schucht was an Italian-Russian revolutionary and close confidante of Antonio Gramsci, known for her role in supporting him during his imprisonment.
-
D.
Sonia Kaspbrak
Sonia Kaspbrak is a character in Stephen King’s novel "It," known as Eddie Kaspbrak’s overbearing, hypochondriac mother who exerts controlling influence over his life.
-
E.
Marta Linden
Marta Linden was an American film actress active in the 1930s and 1940s, known for supporting roles in Hollywood studio productions.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8faf00e8819087d7100e9d8c1877 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4fa3788190b7fa5c34620c3ada |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.