Triple
T10296518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Jaynes |
E241503
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Betty Jaynes |
E241503
|
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 Jaynes | Statement: [Betty Jaynes, name, Betty Jaynes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Jaynes Context triple: [Betty Jaynes, name, Betty Jaynes]
-
A.
Betty Jaynes
chosen
Betty Jaynes was an American soprano and film actress best known for her musical roles in late 1930s MGM productions.
-
B.
Marjorie Hearn
Marjorie Hearn was the longtime wife and partner of legendary Los Angeles Lakers broadcaster Chick Hearn.
-
C.
Marilyn Grimes
Marilyn Grimes is the middle-aged African American wife and mother at the center of Terry McMillan’s novel "The Interruption of Everything," whose journey explores identity, marriage, and personal reinvention.
-
D.
Dorothy Stine
Dorothy Stine was the first wife of English actor Boris Karloff, best known for his iconic roles in classic horror films.
-
E.
Dorothy Bussy
Dorothy Bussy was an English novelist and translator best known for her close association with French writer André Gide and for translating many of his works into English.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ebd258819099fadddcd13099fc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b744b534819095b272ba8943f7b7 |
completed | April 20, 2026, 5:19 a.m. |
Created at: April 6, 2026, 11:43 a.m.