Triple
T8343683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Warner |
E195982
|
entity |
| Predicate | startTime (Governor of Virginia) |
P82200
|
FINISHED |
| Object | 2002-01-12 |
—
|
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: 2002-01-12 | Statement: [Mark Warner, startTime (Governor of Virginia), 2002-01-12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Governor of Virginia) Context triple: [Mark Warner, startTime (Governor of Virginia), 2002-01-12]
-
A.
startTime (Governor of Vermont)
Indicates the point in time at which an individual begins serving as Governor of Vermont.
-
B.
startTime (Governor of South Carolina)
Indicates the point in time at which a person begins serving as Governor of South Carolina.
-
C.
startTime (Governor of New Jersey)
Indicates the point in time at which a person begins serving as Governor of New Jersey.
-
D.
startTime (U.S. Secretary of State)
Indicates the point in time when an individual began serving as U.S. Secretary of State.
-
E.
startTime (United States Senator from Indiana)
Indicates the point in time at which a person begins serving as a United States Senator from Indiana.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7febde288190bf4677fb24d26b83 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:58 p.m.