Triple
T22181945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léonie Sonning |
E548189
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sonning |
—
|
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: Sonning | Statement: [Léonie Sonning, familyName, Sonning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonning Context triple: [Léonie Sonning, familyName, Sonning]
-
A.
Sonning
chosen
Sonning is a picturesque village on the River Thames in Berkshire, England, known for its historic architecture, scenic riverside setting, and literary associations.
-
B.
Sununu
Sununu is a prominent American political family name most notably associated with former New Hampshire Governor and White House Chief of Staff John H. Sununu and his son, Governor Chris Sununu.
-
C.
Son My
Son My is a village in central Vietnam best known internationally as the site of the 1968 My Lai Massacre during the Vietnam War.
-
D.
Suonada
Suonada is a coastal body of water in Japan that forms part of the Seto Inland Sea, bordered by several ports and cities including Nakatsu.
-
E.
Sone
Sone is a Japanese surname borne by various notable figures in politics, arts, and sports.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa5998081909ff35f8b5df4f92f |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.