Triple
T398568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of St Michael and St George |
E9226
|
entity |
| Predicate | usesTitleKnightForMen |
P1805
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Order of St Michael and St George, usesTitleKnightForMen, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTitleKnightForMen Context triple: [Order of St Michael and St George, usesTitleKnightForMen, true]
-
A.
hasPatronalTitle
Indicates that an entity holds or is associated with a specific patronal or honorific title, typically reflecting patronage, protection, or dedication.
-
B.
hasGenderedTitle
chosen
Indicates that an entity is associated with a title or form of address that is explicitly marked for a particular gender.
-
C.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
D.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
E.
heirOf
Indicates that one entity is the legal or designated successor who inherits from another entity, typically upon that entity’s death or transfer of rights.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8bcf708190b62e15806159ceb1 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96d17d08190878d3a68b17d51ca |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.