Triple
T33244082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Henley, 1st Earl of Northington |
E851045
|
entity |
| Predicate | startTimeAsLordKeeperOfTheGreatSeal |
P200754
|
FINISHED |
| Object | 1757 |
—
|
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: 1757 | Statement: [Robert Henley, 1st Earl of Northington, startTimeAsLordKeeperOfTheGreatSeal, 1757]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsLordKeeperOfTheGreatSeal Context triple: [Robert Henley, 1st Earl of Northington, startTimeAsLordKeeperOfTheGreatSeal, 1757]
-
A.
startTimeAsNationalSecurityAdvisor
Indicates the date and time when an individual began serving in the role of National Security Advisor.
-
B.
startTimeAsFedGovernor
Indicates the date and time at which an individual began serving in the role of Federal Reserve Governor.
-
C.
timeOfOath
Indicates the specific time at which an oath is made, taken, or becomes effective.
-
D.
swornInAt
Indicates that an individual formally assumes an official role or office at a specific place or event through an oath or swearing-in ceremony.
-
E.
startTime (U.S. Secretary of State)
Indicates the point in time when an individual began serving as U.S. Secretary of State.
- 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_69f34962386c81909ddc3bf9e18ddeb8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffab5adf2c819084700c5ea34615bf |
completed | May 9, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69ffaabffa208190b5214ca17cc8a5ea |
completed | May 9, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69ffab59fe408190b72f13016de9953c |
completed | May 9, 2026, 9:47 p.m. |
Created at: May 1, 2026, 1:31 a.m.