Triple
T19738811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Barwood |
E474057
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | MacArthur |
—
|
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: MacArthur | Statement: [Hal Barwood, notableWork, MacArthur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacArthur Context triple: [Hal Barwood, notableWork, MacArthur]
-
A.
MacArthur
MacArthur is a Scottish-origin surname notably borne by several prominent American military figures and public personalities.
-
B.
MacArthur
chosen
MacArthur is a small unincorporated community located in Raleigh County, West Virginia, United States.
-
C.
McArthur
McArthur is a surname most notably associated with American oceanographer and NASA astronaut Megan McArthur.
-
D.
Douglas MacArthur
Douglas MacArthur was a prominent American five-star general who played a leading role in the Pacific theater during World War II and later oversaw the Allied occupation of Japan.
-
E.
Douglas MacArthur II
Douglas MacArthur II was an American career diplomat and nephew of General Douglas MacArthur, best known for his influential Cold War–era ambassadorships in key countries including Japan, Belgium, Austria, and Iran.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515f6efc8190a3da113847464399 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.