Triple
T21112959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Babbitt |
E520217
|
entity |
| Predicate | officeStartTime (Attorney General of Arizona) |
P142902
|
FINISHED |
| Object | 1975-01-06 |
—
|
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: 1975-01-06 | Statement: [Bruce Babbitt, officeStartTime (Attorney General of Arizona), 1975-01-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Attorney General of Arizona) Context triple: [Bruce Babbitt, officeStartTime (Attorney General of Arizona), 1975-01-06]
-
A.
officeStartTime (U.S. Attorney General)
Indicates the time at which the U.S. Attorney General officially begins their term in office.
-
B.
officeStartTime (Associate Justice)
Indicates the date and time at which an Associate Justice officially begins their term in office.
-
C.
officeStartTime (Archivist of the United States)
Indicates the time at which the Archivist of the United States officially begins their term in office.
-
D.
officeStartTime (Governor of California)
Indicates the time at which the Governor of California officially begins their term in office.
-
E.
startTimeAsAssistantAttorneyGeneral
Indicates the point in time when an individual began serving in the role of Assistant Attorney General.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72103b3888190a19e9a40f01fb439 |
completed | April 21, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
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, 2:54 p.m.