Triple
T893534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Mondale |
E19291
|
entity |
| Predicate | startTimeAsAmbassadorToJapan |
P17005
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Walter Mondale, startTimeAsAmbassadorToJapan, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsAmbassadorToJapan Context triple: [Walter Mondale, startTimeAsAmbassadorToJapan, 1993]
-
A.
ambassadorialTermStart
chosen
Indicates the date on which an ambassador’s official term in a particular diplomatic post begins.
-
B.
dateOfTokyoBayPresence
Indicates the specific date on which an entity was present in Tokyo Bay.
-
C.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
D.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
E.
eraStartHeiseiYear
Indicates the calendar year in which the Heisei era begins for a given context or system of dating.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad212cd8819091eb1b7d606f5afd |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9372e88190b5a9db4afdc045c6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.