Triple
T21059927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund Randolph as Attorney General |
E518822
|
entity |
| Predicate | concurrentOfficeHeldByHolderStartTime |
P142689
|
FINISHED |
| Object | 1794-01-02 |
—
|
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: 1794-01-02 | Statement: [Edmund Randolph as Attorney General, concurrentOfficeHeldByHolderStartTime, 1794-01-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concurrentOfficeHeldByHolderStartTime Context triple: [Edmund Randolph as Attorney General, concurrentOfficeHeldByHolderStartTime, 1794-01-02]
-
A.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
-
B.
previousOfficeHolderStartTime
Indicates the date and time when the immediately preceding office holder first began their term in that office.
-
C.
thirdOfficeHolderStartDate
Indicates the date on which the third person to hold a particular office or position began their term.
-
D.
lastOfficeHolderStartDate
Indicates the date on which the most recent person to hold a particular office or position began their term.
-
E.
firstOfficeHolderStart
Indicates the date or time when the first person to hold a particular office or position began their term.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd842e8881909f4ffc4c43b7fa9f |
completed | April 21, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:37 p.m.