Triple
T1239354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louise, Princess Royal |
E26622
|
entity |
| Predicate | dateBecamePrincessRoyal |
P24866
|
FINISHED |
| Object | 1905-11-09 |
—
|
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: 1905-11-09 | Statement: [Louise, Princess Royal, dateBecamePrincessRoyal, 1905-11-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateBecamePrincessRoyal Context triple: [Louise, Princess Royal, dateBecamePrincessRoyal, 1905-11-09]
-
A.
becameCrownPrincessOn
Indicates the date on which an individual assumed the title and role of crown princess.
-
B.
royalDesignationYear
Indicates the year in which an entity was formally granted or recognized with a royal status or designation.
-
C.
reignAsQueenConsortOfEnglandStart
Indicates the time at which an individual began serving as queen consort of England to a reigning English monarch.
-
D.
dateOfBirthOfChildRoyalReign
Indicates the specific date on which a child was born during a particular royal’s reign.
-
E.
reignAsQueenConsortOfScotlandStart
Indicates the time at which a person began their tenure serving as queen consort of Scotland.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf41c5d08190b07adbdb24d35a76 |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb67d52c8190815d6356b79d6ed5 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.