Triple
T6558449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Sherr Klein |
E152510
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Michael Klein |
E78031
|
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: Michael Klein | Statement: [Bonnie Sherr Klein, spouse, Michael Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Klein Context triple: [Bonnie Sherr Klein, spouse, Michael Klein]
-
A.
Michael Klein
chosen
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
B.
Jonathan Klein
Jonathan Klein is a British businessman best known as the co-founder and longtime leader of the global stock photography and media company Getty Images.
-
C.
Chris Klein
Chris Klein is a former American professional soccer player who later became a sports executive, notably serving as president of Major League Soccer’s LA Galaxy.
-
D.
Chris Klein
Chris Klein is an American actor best known for his breakout role as Oz in the teen comedy film series "American Pie."
-
E.
Michael Kozoll
Michael Kozoll is an American television writer and producer best known for co-creating the influential police drama series "Hill Street Blues."
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae202e508190a08a0c0584648b83 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eed99a1c8190b37da0ffed24e203 |
completed | March 27, 2026, 8:55 p.m. |
Created at: March 27, 2026, 1:52 p.m.