Triple
T291553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Henry, Duke of Gloucester |
E6004
|
entity |
| Predicate | coronationRole |
P3343
|
FINISHED |
| Object | attended coronation of George VI in 1937 |
—
|
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: attended coronation of George VI in 1937 | Statement: [Prince Henry, Duke of Gloucester, coronationRole, attended coronation of George VI in 1937]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coronationRole Context triple: [Prince Henry, Duke of Gloucester, coronationRole, attended coronation of George VI in 1937]
-
A.
ceremonialRole
chosen
Indicates that an entity holds a formal, often symbolic or honorific, position or function within a ceremony or ritual context.
-
B.
monarchRole
Indicates that an entity holds or is assigned the role, office, or position of a monarch in relation to a state or domain.
-
C.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
D.
crownedWith
Indicates that one entity serves as a crown, top, or decorative upper covering placed upon another entity.
-
E.
reignAs
Indicates that an entity holds and exercises ruling authority or sovereignty over a domain or people for a period of time.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e934b4408190b53a17f57a02df65 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.