Triple
T14735733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Rush |
E346202
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Barbara Rush |
E346202
|
NE FINISHED |
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: Barbara Rush | Statement: [Barbara Rush, name, Barbara Rush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Rush Context triple: [Barbara Rush, name, Barbara Rush]
-
A.
Barbara Rush
chosen
Barbara Rush is an American actress best known for her work in mid-20th-century film and television, including prominent roles in dramas and science fiction classics.
-
B.
Arlene Francis
Arlene Francis was an American actress, radio and television talk show host, and longtime panelist on the game show "What's My Line?"
-
C.
Edie Britt
Edie Britt is a provocative, sharp-tongued real estate agent and one of the central, trouble-stirring neighbors on the television series "Desperate Housewives."
-
D.
Audrey Sellers
Audrey Sellers is best known as the former wife of American actor Billy Dee Williams.
-
E.
Eileen Baker
Eileen Baker is best known as the wife of English actor Kenny Baker, who famously portrayed R2-D2 in the original Star Wars films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73114cc819088e1101b689fc70b |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffee0ff948190911c02f6e50ea2bc |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:29 a.m.