Triple
T7747197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Station 19 |
E175660
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Betsy Beers |
E382010
|
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: Betsy Beers | Statement: [Station 19, executiveProducer, Betsy Beers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betsy Beers Context triple: [Station 19, executiveProducer, Betsy Beers]
-
A.
Betsy Beers
chosen
Betsy Beers is an American television and film producer best known for her longtime collaboration with Shonda Rhimes on hit series such as Grey’s Anatomy and Scandal.
-
B.
Carol Ann Beery
Carol Ann Beery is the daughter of Academy Award–winning American actor Wallace Beery.
-
C.
Betsy Blair
Betsy Blair was an American actress best known for her acclaimed, Oscar-nominated performance in the 1955 film "Marty" and for her work in both Hollywood and European cinema.
-
D.
Bernice Stegers
Bernice Stegers is a British actress known for her work in film, television, and theatre, including roles in productions such as "Four Weddings and a Funeral" and various British TV dramas.
-
E.
Beverly Van Zile
Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7038caa64819084f61b42a73c2d8b |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d583f75c819083cb0dcdf265d735 |
completed | April 5, 2026, 3:22 a.m. |
Created at: March 27, 2026, 4:08 p.m.