Triple
T6924865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara of Cilli |
E160278
|
entity |
| Predicate | reignAsQueenConsortOfHungaryStart |
P73694
|
FINISHED |
| Object | 1408 |
—
|
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: 1408 | Statement: [Barbara of Cilli, reignAsQueenConsortOfHungaryStart, 1408]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsQueenConsortOfHungaryStart Context triple: [Barbara of Cilli, reignAsQueenConsortOfHungaryStart, 1408]
-
A.
reignAsQueenConsortOfBohemiaEnd
Indicates the time or event at which an individual’s tenure as queen consort of Bohemia comes to an end.
-
B.
reignAsQueenConsortOfEnglandStart
Indicates the time at which an individual began serving as queen consort of England to a reigning English monarch.
-
C.
reignAsQueenConsortOfFranceStart
Indicates the time at which a person began serving as queen consort of France.
-
D.
reignAsQueenConsortOfSpainStart
Indicates the time at which a person began their tenure as queen consort of Spain.
-
E.
reignAsQueenConsortSwedenStart
Indicates the time at which an individual began serving as queen consort of Sweden.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da18b6388190947dfc1eb9e5d382 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d98625c88190a37fdf6d95d7fcbd |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 2:26 p.m.