Triple
T511358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Stuart, Duke of Gloucester |
E10614
|
entity |
| Predicate | returnedToEngland |
P13739
|
FINISHED |
| Object | 1660 |
—
|
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: 1660 | Statement: [Henry Stuart, Duke of Gloucester, returnedToEngland, 1660]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedToEngland Context triple: [Henry Stuart, Duke of Gloucester, returnedToEngland, 1660]
-
A.
introducedToEnglandBy
Indicates that one entity was responsible for bringing or first establishing another entity in England.
-
B.
returnedBy
Indicates that something is given, sent, or brought back to a previous sender, owner, or source by another entity.
-
C.
broughtUnderBritishCrown
Indicates that an entity was placed under the authority, control, or sovereignty of the British Crown.
-
D.
retrocededTo
Indicates that control, ownership, or rights over something were returned or transferred back from one entity to another.
-
E.
hasBritishAccent
Indicates that the subject speaks with a British accent.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f165b91c81908c2d2ba15c64b956 |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2edff001c81909182a7e26c6dc51b |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.