Triple
T28209572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William DeWitt Mitchell |
E711120
|
entity |
| Predicate | startTimeInOfficeAsUnitedStatesAttorneyGeneral |
P76109
|
FINISHED |
| Object | 1929 |
—
|
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: 1929 | Statement: [William DeWitt Mitchell, startTimeInOfficeAsUnitedStatesAttorneyGeneral, 1929]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeInOfficeAsUnitedStatesAttorneyGeneral Context triple: [William DeWitt Mitchell, startTimeInOfficeAsUnitedStatesAttorneyGeneral, 1929]
-
A.
startTimeAsAssistantAttorneyGeneral
Indicates the point in time when an individual began serving in the role of Assistant Attorney General.
-
B.
officeStartTime (U.S. Attorney General)
chosen
Indicates the time at which the U.S. Attorney General officially begins their term in office.
-
C.
startTime (as Attorney General)
Indicates the date and time at which an individual began serving in the role of Attorney General.
-
D.
startTimeAsJusticeSecretary
Indicates the date and time at which an individual began serving in the role of Justice Secretary.
-
E.
startTimeAsSolicitorGeneral
Indicates the point in time when an individual began serving in the role of Solicitor General.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 27, 2026, 10:38 p.m.