Triple
T19973495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger |
E493626
|
entity |
| Predicate | workStars |
P94797
|
FINISHED |
| Object | Kathy Najimy |
—
|
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: Kathy Najimy | Statement: [Roger, workStars, Kathy Najimy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathy Najimy Context triple: [Roger, workStars, Kathy Najimy]
-
A.
Kathy Najimy
chosen
Kathy Najimy is an American actress and comedian best known for her roles in films like "Hocus Pocus" and "Sister Act" and for her extensive voice work in animation.
-
B.
Susie Essman
Susie Essman is an American stand-up comedian and actress best known for her sharp-tongued, foul-mouthed role as Susie Greene on the HBO comedy series "Curb Your Enthusiasm."
-
C.
Cheri Oteri
Cheri Oteri is an American comedian and actress best known as a cast member on "Saturday Night Live" in the late 1990s, where she created several popular recurring characters.
-
D.
Kirstie Alley
Kirstie Alley was an American actress best known for her Emmy-winning role as Rebecca Howe on the hit sitcom "Cheers" and for her work in films like "Look Who's Talking."
-
E.
Deborah Norville
Deborah Norville is an American television journalist and author best known as the longtime anchor of the syndicated newsmagazine program Inside Edition.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65bcb72048190aedb4f085ace0493 |
completed | April 20, 2026, 5 p.m. |
Created at: April 11, 2026, 3:17 p.m.