Triple
T23444110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daisy Werthan |
E565485
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Dana Ivey |
—
|
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: Dana Ivey | Statement: [Daisy Werthan, portrayedBy, Dana Ivey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Ivey Context triple: [Daisy Werthan, portrayedBy, Dana Ivey]
-
A.
Dana Ivey
chosen
Dana Ivey is an American character actress known for her work on stage and screen, including notable roles in films like "The Addams Family" and numerous acclaimed Broadway productions.
-
B.
Lori Petty
Lori Petty is an American actress best known for her energetic roles in films like "Point Break," "Tank Girl," and the baseball classic "A League of Their Own."
-
C.
Jennifer McDaniel
Jennifer McDaniel is an American makeup artist best known for her former marriage to professional wrestling icon Hulk Hogan.
-
D.
Laurie Durning
Laurie Durning is an American filmmaker and costume designer best known for her long-term relationship and later marriage to Pink Floyd co-founder Roger Waters.
-
E.
Jill Arrington
Jill Arrington is an American sportscaster and television host known for her work covering college football and other major sports events.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64717d08190a2c25e7bbfc17a2f |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.