Triple
T17880478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stevie |
E447069
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Mona Washbourne |
—
|
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: Mona Washbourne | Statement: [Stevie, castMember, Mona Washbourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mona Washbourne Context triple: [Stevie, castMember, Mona Washbourne]
-
A.
Mona Washbourne
chosen
Mona Washbourne was an English character actress known for her versatile performances in mid-20th-century British film, television, and theatre.
-
B.
Mona Sutphen
Mona Sutphen is an American foreign policy expert and former White House official who served in senior national security and diplomatic roles under President Barack Obama.
-
C.
Mona Kane
Mona Kane is a long-running supporting character on the soap opera "All My Children," best known as the kind, moral, and often-suffering mother of central heroine Erica Kane.
-
D.
Georgia Welch
Georgia Welch is best known as the wife of former U.S. Attorney General and prominent civil rights advocate Ramsey Clark.
-
E.
Mona Lee Fultz
Mona Lee Fultz is an American actress known for her work in film, television, and theater, including a role in the cult mockumentary film "True Stories."
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0e56bc819097649377b520de63 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.