Triple
T31892058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal and Parliamentary Titles Act 1927 |
E814170
|
entity |
| Predicate | changedRoyalStyleTo |
P172703
|
FINISHED |
| Object |
King of Great Britain, Ireland and the British Dominions beyond the Seas, Defender of the Faith, Emperor of India
The King of Great Britain, Ireland and the British Dominions beyond the Seas, Defender of the Faith, Emperor of India was the formal sovereign title used for the British monarch during the height of the British Empire, reflecting authority over the United Kingdom, its dominions, and colonial possessions including India.
|
E1984850
|
NE FINISHED |
How this triple was built (3 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: King of Great Britain, Ireland and the British Dominions beyond the Seas, Defender of the Faith, Emperor of India | Statement: [Royal and Parliamentary Titles Act 1927, changedRoyalStyleTo, King of Great Britain, Ireland and the British Dominions beyond the Seas, Defender of the Faith, Emperor of India]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: King of Great Britain, Ireland and the British Dominions beyond the Seas, Defender of the Faith, Emperor of India Triple: [Royal and Parliamentary Titles Act 1927, changedRoyalStyleTo, King of Great Britain, Ireland and the British Dominions beyond the Seas, Defender of the Faith, Emperor of India]
Generated description
The King of Great Britain, Ireland and the British Dominions beyond the Seas, Defender of the Faith, Emperor of India was the formal sovereign title used for the British monarch during the height of the British Empire, reflecting authority over the United Kingdom, its dominions, and colonial possessions including India.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changedRoyalStyleTo Context triple: [Royal and Parliamentary Titles Act 1927, changedRoyalStyleTo, King of Great Britain, Ireland and the British Dominions beyond the Seas, Defender of the Faith, Emperor of India]
-
A.
amendedRoyalStyleOf
chosen
Indicates that one authority has formally changed or updated the official royal title or style associated with another.
-
B.
royalStyle
Indicates the formal manner or title by which a monarch or royal person is officially addressed or referred to.
-
C.
isMonarchicalStyle
Indicates that the relationship or action involves having or using a monarchical style, such as a royal or sovereign form of address or title.
-
D.
usedInMonarchicStyleUntil
Indicates that something continued to be employed or practiced within a monarchical style or system up to a specified point in time.
-
E.
replacedCoronationWith
Indicates that one event, action, or practice has been substituted in place of a coronation, effectively taking over its role or function.
- F. None of above.
Provenance (6 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e8a2c75348190900832da5f8803e9 |
completed | June 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_6a2e8b0d7b9881909941c614281a6c05 |
completed | June 14, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2e8c005eb48190a28f4f07ad7c70af |
completed | June 14, 2026, 11:09 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 30, 2026, 11:58 p.m.