Triple
T11574672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Gabriel |
E274472
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Betty Gabriel |
E274472
|
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 Gabriel | Statement: [Betty Gabriel, name, Betty Gabriel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Gabriel Context triple: [Betty Gabriel, name, Betty Gabriel]
-
A.
Betty Gabriel
chosen
Betty Gabriel is an American actress best known for her breakout role as the unsettling housekeeper Georgina in the horror film "Get Out."
-
B.
Betty Barrett
Betty Barrett is a minor character in the 1949 MGM musical romantic comedy film "Neptune’s Daughter."
-
C.
Betty Garde
Betty Garde was an American stage, film, and radio actress known for her versatile character roles in mid-20th-century theater and entertainment.
-
D.
Barbara Cassidy
Barbara Cassidy is the mother of the late American singer and guitarist Eva Cassidy.
-
E.
Ginetta Sagan
Ginetta Sagan was an Italian-born human rights activist and Holocaust survivor renowned for her work with Amnesty International in defending political prisoners and opposing torture worldwide.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89048120c81908258f984711f7dd4 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713e49f508190b9bad316d68eab42 |
completed | April 21, 2026, 6:06 a.m. |
Created at: April 8, 2026, 9:38 p.m.