Triple
T19010489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenda Brinker |
E465209
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brenda Brinker |
—
|
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: Brenda Brinker | Statement: [Brenda Brinker, name, Brenda Brinker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brenda Brinker Context triple: [Brenda Brinker, name, Brenda Brinker]
-
A.
Brenda Brinker
chosen
Brenda Brinker is the daughter of American restaurateur and casual-dining pioneer Norman Brinker.
-
B.
Helen Burger
Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
-
C.
Toni Cottura
Toni Cottura is a German music producer and songwriter best known for his work in Eurodance and pop, including collaborations with acts like Fun Factory and 'N Sync.
-
D.
Janet Langhart
Janet Langhart is an American television journalist, author, and former model known for her work as a news correspondent and for her writings on race and civil rights.
-
E.
Donna Weiss
Donna Weiss is an American songwriter best known for co-writing the hit song "Bette Davis Eyes."
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a8225c81908e80ae7eb1c1301b |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:02 p.m.