Triple
T39590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home Secretary |
E783
|
entity |
| Predicate | oneOfTheGreatOfficesOfState |
P2716
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Home Secretary, oneOfTheGreatOfficesOfState, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfTheGreatOfficesOfState Context triple: [Home Secretary, oneOfTheGreatOfficesOfState, yes]
-
A.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
B.
isCommanderInChiefOf
Indicates that one entity holds the highest authority and ultimate command over the armed forces or military organization of another entity.
-
C.
presidentElect
Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
-
D.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
E.
constitutionalPosition
Indicates the official role, office, or status an entity holds within a constitutional or legal framework.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24b80f4a8819090d2bffe29824b90 |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ab74c548190a54872e15c8394c3 |
completed | Feb. 28, 2026, 1:53 a.m. |
| PDg | Predicate description generation | batch_69a24b7fd2c08190a0057fe7aec6a1ee |
completed | Feb. 28, 2026, 1:57 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.