Triple
T5775719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Noonan |
E127435
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peggy Noonan |
E127435
|
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: Peggy Noonan | Statement: [Peggy Noonan, name, Peggy Noonan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peggy Noonan Context triple: [Peggy Noonan, name, Peggy Noonan]
-
A.
Peggy Noonan
chosen
Peggy Noonan is an American political columnist, author, and former speechwriter best known for her work with President Ronald Reagan and her influential commentary in The Wall Street Journal.
-
B.
Margaret Hoover
Margaret Hoover is an American political commentator, author, and television host best known for hosting PBS’s "Firing Line" and for her work as a Republican strategist.
-
C.
Maureen Dowd
Maureen Dowd is an American columnist and author best known for her sharp, often satirical political commentary in The New York Times.
-
D.
Michael Kinsley
Michael Kinsley is an American political journalist and commentator known for his influential work in opinion journalism and his leadership roles at several major publications.
-
E.
Lynn Povich
Lynn Povich is an American journalist and author best known for chronicling and participating in the landmark 1970 gender-discrimination lawsuit by female Newsweek employees that helped spark workplace equality reforms.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029de3bb4819087a6f3e920e12990 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e6fd260819090d5e3c877c8bd31 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:50 p.m.