Triple
T16433178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain of the Yeomen of the Guard |
E399117
|
entity |
| Predicate | isWhipOffice |
P122764
|
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: [Captain of the Yeomen of the Guard, isWhipOffice, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWhipOffice Context triple: [Captain of the Yeomen of the Guard, isWhipOffice, true]
-
A.
isOfficialOfficeOf
Indicates that one entity serves as the formally recognized office or headquarters associated with another entity.
-
B.
isOfficeTower
Indicates that a structure functions primarily as a multi-story building used for office or commercial workspace purposes.
-
C.
isPermanentOffice
Indicates that an office or position is established on a lasting, ongoing basis rather than being temporary or time-limited.
-
D.
isCivilianOffice
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
-
E.
hasOfficeType
Indicates that an entity’s office is classified as a specific type or category of office.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32b9f2e8c81909c60b8fb78255e5f |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:10 a.m.