Triple
T21980551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Noonan |
E542826
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Noonan |
—
|
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: Noonan | Statement: [Peggy Noonan, familyName, Noonan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noonan Context triple: [Peggy Noonan, familyName, Noonan]
-
A.
Noonan
chosen
Noonan is the surname of Peggy Noonan, a prominent American political speechwriter, author, and columnist.
-
B.
Beckwith
Beckwith is an English-origin surname borne by various notable individuals across fields such as politics, the arts, and academia.
-
C.
Joubbé
Joubbé is a locality in Lebanon that forms part of the pastoral territory served by the Maronite Catholic Eparchy of Joubbé, Sarba and Jounieh.
-
D.
Albright
Albright is a surname most notably associated with American journalist and author Joseph Medill Patterson Albright.
-
E.
Gotaas-Larsen
Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1248cf0388190b557d065beb662b5 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:04 p.m.