Triple
T20001968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothy M. Johnson |
E494353
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dorothy M. Johnson |
—
|
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: Dorothy M. Johnson | Statement: [Dorothy M. Johnson, name, Dorothy M. Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dorothy M. Johnson Context triple: [Dorothy M. Johnson, name, Dorothy M. Johnson]
-
A.
Dorothy M. Johnson
chosen
Dorothy M. Johnson was an American Western author best known for her influential short stories that inspired classic films such as "The Man Who Shot Liberty Valance" and "A Man Called Horse."
-
B.
Dorothy C. Cressman
Dorothy C. Cressman was the wife of American archaeologist and anthropologist Luther Cressman.
-
C.
Ruth P. Johnson
Ruth P. Johnson was the wife of American character actor Elisha Cook Jr., known for his roles in classic film noir and Hollywood cinema.
-
D.
Margaret C. Etter
Margaret C. Etter was an influential American chemist and crystallographer known for pioneering work in hydrogen bonding and crystal engineering.
-
E.
Dorothy M. Donahoe
Dorothy M. Donahoe was a California legislator and education advocate best known for her pivotal role in shaping state higher education policy.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a222908190b88e1d11cb1b7ee3 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:32 p.m.