Triple
T10980322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Elizabeth Alexander Hanford |
E259485
|
entity |
| Predicate | startTime (as U.S. senator from North Carolina) |
P96433
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Mary Elizabeth Alexander Hanford, startTime (as U.S. senator from North Carolina), 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (as U.S. senator from North Carolina) Context triple: [Mary Elizabeth Alexander Hanford, startTime (as U.S. senator from North Carolina), 2003]
-
A.
startTime (U.S. Senator from Georgia)
Indicates the point in time at which an individual began serving as a U.S. Senator from Georgia.
-
B.
startTime (U.S. Representative)
Indicates the date and time at which a person begins serving as a U.S. Representative.
-
C.
startTime (United States Senator from Indiana)
Indicates the point in time at which a person begins serving as a United States Senator from Indiana.
-
D.
startTime (Senate Majority Leader)
Indicates the specific time at which the person serves or begins serving as Senate Majority Leader.
-
E.
startTime (U.S. Senator from Wisconsin)
Indicates the point in time when an individual began serving as a U.S. Senator from Wisconsin.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772e97cf88190a65dab3ec4e5f7f3 |
completed | April 9, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.