Triple
T11878760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saibai |
E282597
|
entity |
| Predicate | successorAsPrincipalConsort |
P7964
|
FINISHED |
| Object | Soyarabai (de facto after Saibai’s death) |
—
|
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: Soyarabai (de facto after Saibai’s death) | Statement: [Saibai, successorAsPrincipalConsort, Soyarabai (de facto after Saibai’s death)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsPrincipalConsort Context triple: [Saibai, successorAsPrincipalConsort, Soyarabai (de facto after Saibai’s death)]
-
A.
successorAsQueenConsort
chosen
Indicates that one individual became the next queen consort following another in a royal succession.
-
B.
successorAsQueen
Indicates that one entity became queen directly after another, inheriting the queenship as her successor.
-
C.
successorAsPrincessRoyal
Indicates that one person becomes the next holder of the title "Princess Royal" after another person.
-
D.
successorAsRegent
Indicates that one entity assumes the role of regent following another, serving as their successor in that governing capacity.
-
E.
successorAsQueenMother
Indicates that one individual assumed the role of Queen Mother directly after another individual, succeeding her in that specific position.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.