Triple
T3224753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okada Keisuke |
E67597
|
entity |
| Predicate | officeEndTime (Prime Minister of Japan) |
P371
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Okada Keisuke, officeEndTime (Prime Minister of Japan), 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (Prime Minister of Japan) Context triple: [Okada Keisuke, officeEndTime (Prime Minister of Japan), 1936]
-
A.
endTimeAsAmbassadorToJapan
Indicates the date and time when an individual's tenure or service as ambassador to Japan concludes.
-
B.
primeMinisterTermEnd
chosen
Indicates the date or point in time when a person's tenure as prime minister comes to an end.
-
C.
officeholderEndTime
Indicates the time or date at which a person’s term in a particular office or position comes to an end.
-
D.
servedAsForeignMinisterUntil
Indicates that an entity held the position of foreign minister up to a specified end date or point in time.
-
E.
officeStartAsPrimeMinister
Indicates the point in time when an individual begins their term serving in the role of prime minister.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1c51a48190b4a395650528b5d8 |
completed | March 8, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.