Triple
T16626692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Burnett |
E403963
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kari Lizer |
—
|
NE NERFINISHED |
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: Kari Lizer | Statement: [Rob Burnett, spouse, Kari Lizer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kari Lizer Context triple: [Rob Burnett, spouse, Kari Lizer]
-
A.
Kari Lizer
chosen
Kari Lizer is an American television writer, producer, and actress best known for creating the sitcom "The New Adventures of Old Christine."
-
B.
Liz Bien
Liz Bien is a character appearing in the 1965 British comedy film "What’s New Pussycat?".
-
C.
Liz Cackowski
Liz Cackowski is an American comedy writer and actress known for her work on shows like Saturday Night Live and various film and television projects.
-
D.
Lisa Bluder
Lisa Bluder is a longtime head coach of the University of Iowa women's basketball team, known for leading the Hawkeyes to national prominence behind star players like Caitlin Clark.
-
E.
Lisa Loomer
Lisa Loomer is an American playwright and screenwriter known for her socially conscious works in theater and film.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e375530ed081908337dc5c6360d733 |
completed | April 18, 2026, 12:13 p.m. |
Created at: April 10, 2026, 5:17 a.m.