Triple
T11832810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Her Majesty the Empress Dowager |
E281435
|
entity |
| Predicate | grantedAfterEvent |
P75493
|
FINISHED |
| Object | death of Emperor Taishō |
—
|
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: death of Emperor Taishō | Statement: [Her Majesty the Empress Dowager, grantedAfterEvent, death of Emperor Taishō]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedAfterEvent Context triple: [Her Majesty the Empress Dowager, grantedAfterEvent, death of Emperor Taishō]
-
A.
grantedOnOccasionOf
chosen
Indicates that something (such as a right, benefit, or status) is conferred specifically in connection with, or as a result of, a particular occasion or event.
-
B.
maintainedAfterEvent
Indicates that a state, condition, or relationship continues to hold true after a specified event has occurred.
-
C.
createdAfterEvent
Indicates that the creation of one entity occurred after a specified event in time.
-
D.
grantedWith
Indicates that one entity is given, conferred, or endowed together with another entity as part of the same granting event or condition.
-
E.
succeededByEvent
Indicates that one event directly follows and replaces another in a temporal or sequential order.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62c95988190a45dbaa7001c8846 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.