Triple
T7305034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Mukasey |
E167952
|
entity |
| Predicate | officeEndTime (U.S. Attorney General) |
P31763
|
FINISHED |
| Object | 2009-01-20 |
—
|
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: 2009-01-20 | Statement: [Michael Mukasey, officeEndTime (U.S. Attorney General), 2009-01-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (U.S. Attorney General) Context triple: [Michael Mukasey, officeEndTime (U.S. Attorney General), 2009-01-20]
-
A.
endTimeAsAssistantAttorneyGeneral
Indicates the point in time when an individual’s service in the role of Assistant Attorney General concludes.
-
B.
officeEndTime (United States Secretary of Health and Human Services)
Indicates the time at which a person's tenure as United States Secretary of Health and Human Services concludes.
-
C.
officeEndTime (Secretary of the Interior)
Indicates the time at which the Secretary of the Interior’s term in office or service period concludes.
-
D.
endTime (as Attorney General)
chosen
Indicates the point in time when an entity’s role or tenure as Attorney General concludes.
-
E.
officeEndTime (U.S. Representative)
Indicates the time at which a U.S. Representative’s term in office concludes.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebd61c0c8190abb1368c9dfb1550 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.