Triple
T19010483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Brinker |
E465208
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Magrit L. 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: Magrit L. Brinker | Statement: [Norman Brinker, spouse, Magrit L. Brinker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magrit L. Brinker Context triple: [Norman Brinker, spouse, Magrit L. Brinker]
-
A.
Magrit L. Brinker
chosen
Magrit L. Brinker is known primarily as the wife of American restaurateur and casual-dining pioneer Norman Brinker.
-
B.
Margaret DeVogelaere
Margaret DeVogelaere is best known as the third wife of American actor Peter Fonda, with whom she was married from 2011 until his death in 2019.
-
C.
Margaret Lindauer
Margaret Lindauer is an individual notable enough to be recognized as a prominent bearer of the surname Lindauer.
-
D.
Margaret Fink
Margaret Fink is an Australian film producer best known for her work on influential Australian New Wave films, including the acclaimed adaptation of "My Brilliant Career."
-
E.
Margaret Beeman
Margaret Beeman was the wife of Dallas founder John Neely Bryan and a member of the early settler Beeman family influential in the development of the Dallas, Texas area.
- 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.