Triple
T10257421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Kaczmarek |
E240508
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jane Kaczmarek |
E240508
|
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: Jane Kaczmarek | Statement: [Jane Kaczmarek, name, Jane Kaczmarek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane Kaczmarek Context triple: [Jane Kaczmarek, name, Jane Kaczmarek]
-
A.
Jane Kaczmarek
chosen
Jane Kaczmarek is an American actress best known for her Emmy-nominated role as Lois, the overbearing yet loving mother on the television series "Malcolm in the Middle."
-
B.
Michelle Marciniak
Michelle Marciniak is a former American point guard best known for starring under coach Pat Summitt at the University of Tennessee and later playing in the WNBA.
-
C.
Kimberly Krysiuk
Kimberly Krysiuk is a writer known for her work on the series "Baby Mama."
-
D.
Barbara Kowalcyk
Barbara Kowalcyk is a food safety advocate and public health expert known for her work to reform food regulation after her young son died from an E. coli infection.
-
E.
Jennifer Kluska
Jennifer Kluska is an American film director and storyboard artist best known for her work in animated features, including the Hotel Transylvania franchise.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24de4588190b68fb3daa36dbd7d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f3814dc8190b9da0ee680209d51 |
completed | April 10, 2026, 6:56 a.m. |
Created at: April 6, 2026, 11:31 a.m.