Triple
T13562467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Wright |
E323942
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Betty Wright |
E323942
|
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: Betty Wright | Statement: [Betty Wright, name, Betty Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Wright Context triple: [Betty Wright, name, Betty Wright]
-
A.
Betty Wright
chosen
Betty Wright is the wife of former U.S. House Speaker Jim Wright and served as his partner and supporter throughout his long political career.
-
B.
Barbara Bach
Barbara Bach is an American actress and former model best known for playing Bond girl Anya Amasova in the James Bond film "The Spy Who Loved Me."
-
C.
Elaine Hendrix
Elaine Hendrix is an American actress best known for playing the glamorous and scheming Meredith Blake in the 1998 film "The Parent Trap."
-
D.
Diana Lynn
Diana Lynn was an American film and television actress best known for her work in 1940s and 1950s Hollywood comedies and dramas.
-
E.
Amy Rydell
Amy Rydell is an actress known for her role in the 2001 biographical television film "James Dean."
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00bbe848190bb33efe2af528295 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb1ef508190ab587bd2aa34795b |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.