Triple
T19801996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dianne Bock Stern |
E475703
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dianne Bock Stern |
—
|
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: Dianne Bock Stern | Statement: [Dianne Bock Stern, name, Dianne Bock Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dianne Bock Stern Context triple: [Dianne Bock Stern, name, Dianne Bock Stern]
-
A.
Dianne Bock Stern
chosen
Dianne Bock Stern is the wife of the late David Stern, the longtime commissioner of the National Basketball Association (NBA).
-
B.
Nancy Lieberman
Nancy Lieberman is a pioneering American basketball player and coach, widely regarded as one of the greatest figures in women's basketball history and a trailblazer for women in the sport.
-
C.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
D.
Judith Lerner
Judith Lerner is a character who appears in Jean-Luc Godard’s 2004 film "Notre musique."
-
E.
Paula Weinstein
Paula Weinstein was an American film producer and studio executive known for overseeing acclaimed dramas and major Hollywood productions.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654257cb4819096fb2aa5d1f7fbb0 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.