Triple
T21480830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tammy and the Doctor |
E529983
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Beulah Bondi |
—
|
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: Beulah Bondi | Statement: [Tammy and the Doctor, stars, Beulah Bondi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beulah Bondi Context triple: [Tammy and the Doctor, stars, Beulah Bondi]
-
A.
Beulah Bondi
chosen
Beulah Bondi was an American character actress known for her frequent portrayals of strong, warm-hearted mothers in classic Hollywood films and early television.
-
B.
Beulah Edmondson
Beulah Edmondson was the wife of influential Tammany Hall political boss Richard Croker.
-
C.
Mary Lou Barebone
Mary Lou Barebone is a fervently anti-witchcraft No-Maj and leader of the New Salem Philanthropic Society in the Fantastic Beasts series, known for her abusive treatment of children under her care.
-
D.
Beulah Smith
Beulah Smith is a fictional character from the romantic drama film "Ice Castles."
-
E.
Beulah Brown
Beulah Brown is the central housekeeper character from the mid-20th-century American radio and television comedy series "Beulah."
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea1b0130819088b8e96ddbb29317 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:20 p.m.