Triple
T7305040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Mukasey |
E167952
|
entity |
| Predicate | startTime (Chief Judge SDNY) |
P76112
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [Michael Mukasey, startTime (Chief Judge SDNY), 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Chief Judge SDNY) Context triple: [Michael Mukasey, startTime (Chief Judge SDNY), 2000]
-
A.
startTime (U.S. Attorney, D.N.J.)
Indicates the time at which the U.S. Attorney for the District of New Jersey begins their term or officially assumes office.
-
B.
startTimeAsCircuitJudge
Indicates the point in time at which an individual begins serving in the role of a circuit judge.
-
C.
startTime (as Attorney General)
Indicates the date and time at which an individual began serving in the role of Attorney General.
-
D.
startTimeAsAssistantAttorneyGeneral
Indicates the point in time when an individual began serving in the role of Assistant Attorney General.
-
E.
startTimeOfPosition_ChiefJudgeFirstCircuit
Indicates the date and time when an individual began serving in the position of Chief Judge of the First Circuit.
- 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_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. |
| PDg | Predicate description generation | batch_69c6eb2d4c0c8190b4cc6fdfdb7f4827 |
completed | March 27, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3:01 p.m.