Triple
T20093392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Zimpher |
E496333
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nancy L. Zimpher |
—
|
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: Nancy L. Zimpher | Statement: [Nancy Zimpher, name, Nancy L. Zimpher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy L. Zimpher Context triple: [Nancy Zimpher, name, Nancy L. Zimpher]
-
A.
Janice E. Voss
Janice E. Voss was an American NASA astronaut and engineer who flew on five Space Shuttle missions and contributed significantly to spaceborne scientific research and technology.
-
B.
Diane W. Nelson
Diane W. Nelson is known primarily as the daughter of Major Malcolm Wheeler-Nicholson, the pioneering comic book publisher who founded the company that would become DC Comics.
-
C.
Judie G. Hoyt
Judie G. Hoyt is a film producer best known for her work on the acclaimed crime drama "Mystic River."
-
D.
Nancy Zimpher
chosen
Nancy Zimpher is an American academic leader and former chancellor of the State University of New York, known for her work in higher education reform and public university systems.
-
E.
Barbara Heinzen
Barbara Heinzen was the wife of William Colby, the former Director of Central Intelligence of the United States.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666a7a94819080ebabfba9762f97 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:23 p.m.