Triple
T10624999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Rudman |
E250299
|
entity |
| Predicate | startTime (Attorney General of New Hampshire) |
P31762
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Warren Rudman, startTime (Attorney General of New Hampshire), 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Attorney General of New Hampshire) Context triple: [Warren Rudman, startTime (Attorney General of New Hampshire), 1970]
-
A.
startTime (as Attorney General)
chosen
Indicates the date and time at which an individual began serving in the role of Attorney General.
-
B.
startTimeAsAssistantAttorneyGeneral
Indicates the point in time when an individual began serving in the role of Assistant Attorney General.
-
C.
startTime (Governor of New Jersey)
Indicates the point in time at which a person begins serving as Governor of New Jersey.
-
D.
startTime (Minister of Justice)
Indicates the point in time at which an individual begins serving as Minister of Justice.
-
E.
startTime (Governor of Vermont)
Indicates the point in time at which an individual begins serving as Governor of Vermont.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df7fe9fc81908b3b8d1dc06a829c |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7fae088190973f70c69738af49 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:53 p.m.