Triple
T17549036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary, Queen of Denmark |
E427405
|
entity |
| Predicate | startTime (as Queen of Denmark) |
P35167
|
FINISHED |
| Object | 2024-01-14 |
—
|
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: 2024-01-14 | Statement: [Mary, Queen of Denmark, startTime (as Queen of Denmark), 2024-01-14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (as Queen of Denmark) Context triple: [Mary, Queen of Denmark, startTime (as Queen of Denmark), 2024-01-14]
-
A.
reignAsQueenConsortDenmarkStart
chosen
Indicates the date or point in time when an individual began serving as queen consort of Denmark.
-
B.
reignAsQueenConsortDenmarkEnd
Indicates the date or point in time when an individual’s tenure as queen consort of Denmark came to an end.
-
C.
startTime (as Duchess of Brittany)
Indicates the point in time when an individual began serving in the role of Duchess of Brittany.
-
D.
reignStartAsKingOfDenmark
Indicates the time or event when an individual begins their rule as the king of Denmark.
-
E.
reignAsQueenConsortOfEnglandStart
Indicates the time at which an individual began serving as queen consort of England to a reigning English monarch.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45463ddf88190a2c29f3246adcb6e |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.