Triple
T18387281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caged |
E446623
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Betty Garde |
—
|
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: Betty Garde | Statement: [Caged, starring, Betty Garde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Garde Context triple: [Caged, starring, Betty Garde]
-
A.
Betty Garde
chosen
Betty Garde was an American stage, film, and radio actress known for her versatile character roles in mid-20th-century theater and entertainment.
-
B.
Betty Reinhardt
Betty Reinhardt was a screenwriter best known for her work on the classic 1944 film noir "Laura."
-
C.
Betty Dury
Betty Dury is best known as the wife of English singer-songwriter and poet Ian Dury.
-
D.
Betty Flanders
Betty Flanders is a central maternal figure in Virginia Woolf’s novel "Jacob’s Room," depicted as the widowed mother of the protagonist, Jacob Flanders.
-
E.
Betty de Noon
Betty de Noon was the wife of American actor and author Sterling Hayden, known primarily for her marriage to the Hollywood star.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a114c08190af1be1ae52c83b63 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:46 a.m.