Triple
T8661779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Purge: Election Year |
E205563
|
entity |
| Predicate | castMember |
P1668
|
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: [The Purge: Election Year, castMember, Betty Gabriel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Gabriel Context triple: [The Purge: Election Year, castMember, 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 Garde
Betty Garde was an American stage, film, and radio actress known for her versatile character roles in mid-20th-century theater and entertainment.
-
C.
Barbara Cassidy
Barbara Cassidy is the mother of the late American singer and guitarist Eva Cassidy.
-
D.
Mary Garrard
Mary Garrard is an American art historian and feminist scholar best known for her influential work on women artists such as Artemisia Gentileschi and for advancing feminist perspectives in art history.
-
E.
Bernice Bourne
Bernice Bourne is an individual known primarily for being among the notable people interred at Flushing Cemetery in Queens, New York.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc487147248190b5f1bff836a11e68 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef37efbf08190805fbb270a4bce37 |
completed | April 2, 2026, 10:53 p.m. |
Created at: March 30, 2026, 6:30 p.m.