Triple
T20598919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jo Anne Worley |
E506121
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jo Anne Worley |
—
|
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: Jo Anne Worley | Statement: [Jo Anne Worley, name, Jo Anne Worley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Anne Worley Context triple: [Jo Anne Worley, name, Jo Anne Worley]
-
A.
Jo Anne Worley
chosen
Jo Anne Worley is an American comic actress and voice performer best known for her zany, high-energy work on the groundbreaking sketch comedy show "Rowan & Martin's Laugh-In."
-
B.
Amy Brenneman
Amy Brenneman is an American actress and producer best known for her roles in television series such as "NYPD Blue," "Judging Amy," and "The Leftovers."
-
C.
Deborah Norville
Deborah Norville is an American television journalist and author best known as the longtime anchor of the syndicated newsmagazine program Inside Edition.
-
D.
Mary Lynn Rajskub
Mary Lynn Rajskub is an American actress and comedian best known for her role as Chloe O'Brian on the television series "24."
-
E.
Kathie Moffat
Kathie Moffat is the seductive and treacherous femme fatale in the classic 1947 film noir "Out of the Past."
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1e251c8190926dafe1402eb63c |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:40 a.m.