Triple
T541669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Masako |
E12642
|
entity |
| Predicate | reignAsEmpressConsortBegan |
P15466
|
FINISHED |
| Object | 2019-05-01 |
—
|
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: 2019-05-01 | Statement: [Empress Masako, reignAsEmpressConsortBegan, 2019-05-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsEmpressConsortBegan Context triple: [Empress Masako, reignAsEmpressConsortBegan, 2019-05-01]
-
A.
successorAsQueenConsort
Indicates that one individual became the next queen consort following another in a royal succession.
-
B.
reignAs
Indicates that an entity holds and exercises ruling authority or sovereignty over a domain or people for a period of time.
-
C.
predecessorAsQueenConsort
Indicates that one queen consort held the position immediately before another queen consort in a royal succession.
-
D.
successorAsEmpressOfTheFrench
Indicates that one person became the next Empress of the French following another person in that imperial role.
-
E.
regentOf
Indicates a relationship where one entity serves as the ruling authority or caretaker governing on behalf of another entity, typically during the latter’s minority, absence, or incapacity.
- F. None of above. chosen
Provenance (4 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49861195081909540eaf402a5401a |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b67c308190a1a225ab7c4b74c6 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.