Triple
T19818152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth McGovern |
E476113
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Elizabeth McGovern |
—
|
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: Elizabeth McGovern | Statement: [Elizabeth McGovern, name, Elizabeth McGovern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth McGovern Context triple: [Elizabeth McGovern, name, Elizabeth McGovern]
-
A.
Elizabeth McGovern
chosen
Elizabeth McGovern is an American actress and musician best known for her roles in films like "Ragtime" and the television series "Downton Abbey."
-
B.
Elizabeth Berkley
Elizabeth Berkley is an American actress best known for her roles in the TV series "Saved by the Bell" and the film "Showgirls."
-
C.
Laura Kugler
Laura Kugler was the wife of Victor Kugler, one of the helpers who hid Anne Frank and her family during World War II.
-
D.
Dana Delany
Dana Delany is an American actress best known for her acclaimed work in television dramas such as "China Beach," for which she earned multiple Primetime Emmy Awards.
-
E.
Nicollette Sheridan
Nicollette Sheridan is a British-American actress best known for her roles on the television series "Knots Landing" and "Desperate Housewives."
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fac7b481909a19ae0d608e01d9 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.