Triple
T34456141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douglas MacArthur II |
E884508
|
entity |
| Predicate | endTime (Ambassador to Japan) |
P20777
|
FINISHED |
| Object | 1961 |
—
|
LITERAL 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: 1961 | Statement: [Douglas MacArthur II, endTime (Ambassador to Japan), 1961]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Ambassador to Japan) Context triple: [Douglas MacArthur II, endTime (Ambassador to Japan), 1961]
-
A.
endTimeAsAmbassadorToJapan
chosen
Indicates the date and time when an individual's tenure or service as ambassador to Japan concludes.
-
B.
startTime (ambassador to Japan)
Indicates the date and time at which a person began serving in the role of ambassador to Japan.
-
C.
endTime (Director-General of ASI)
Indicates the point in time at which a person’s tenure as Director-General of ASI concludes.
-
D.
endTime (Colonial Secretary of Hong Kong)
Indicates the point in time at which a person’s tenure as Colonial Secretary of Hong Kong concludes.
-
E.
endTime (Governor of Singapore)
Indicates the point in time at which a person’s tenure as Governor of Singapore concludes.
- F. None of above.
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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: May 1, 2026, 2 a.m.