Triple
T8596650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vernon March |
E203564
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Walter March |
E332787
|
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: Walter March | Statement: [Vernon March, sibling, Walter March]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter March Context triple: [Vernon March, sibling, Walter March]
-
A.
Walter March
chosen
Walter March was a German architect best known for designing Berlin’s Olympiastadion, the main venue of the 1936 Olympic Games.
-
B.
Walter Darre
Walter Darré was a leading Nazi official and ideologue of "blood and soil" agrarianism who served as Reich Minister of Food and Agriculture and was later tried as a war criminal after World War II.
-
C.
Walter Brewster
Walter Brewster was a prominent local landowner and early settler after whom the Village of Brewster in New York was named.
-
D.
Arthur Aylesworth
Arthur Aylesworth was an American character actor known for his supporting roles in numerous Hollywood films during the 1930s and 1940s.
-
E.
Andrew Lapham
Andrew Lapham is a Canadian businessman known for his marriage to politician Caroline Mulroney and his work in finance and private equity.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c945dc8190a313c61c0db46187 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebba872b8819098ba7525944bcce1 |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:23 p.m.