Triple
T26978623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takayama Ukon |
E679529
|
entity |
| Predicate | lostTitleBecauseOf |
P73248
|
FINISHED |
| Object | anti-Christian edicts of Toyotomi Hideyoshi |
—
|
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: anti-Christian edicts of Toyotomi Hideyoshi | Statement: [Takayama Ukon, lostTitleBecauseOf, anti-Christian edicts of Toyotomi Hideyoshi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostTitleBecauseOf Context triple: [Takayama Ukon, lostTitleBecauseOf, anti-Christian edicts of Toyotomi Hideyoshi]
-
A.
removedTitle
Indicates that an entity no longer holds or uses a previously assigned title or designation.
-
B.
titleForfeited
chosen
Indicates that an entity has lost or been stripped of a title or formal designation it previously held.
-
C.
causeOfNotSucceedingToTitle
Indicates that something is the reason or factor preventing an entity from successfully obtaining or achieving a particular title.
-
D.
reasonForTitle
Indicates the justification, cause, or basis for assigning a particular title to an entity.
-
E.
placeOfTitleLoss
Indicates the location where an entity lost a previously held title or status.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621548d9081908cd4540b909d01f6 |
completed | May 2, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:44 a.m.