Triple
T24529620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2012 United States Senate election in Nebraska |
E606766
|
entity |
| Predicate | incumbentRetired |
P156620
|
FINISHED |
| Object | Ben Nelson |
—
|
NE NERFINISHED |
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: Ben Nelson | Statement: [2012 United States Senate election in Nebraska, incumbentRetired, Ben Nelson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentRetired Context triple: [2012 United States Senate election in Nebraska, incumbentRetired, Ben Nelson]
-
A.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
-
B.
incumbentAfterElection
Indicates that an entity holds a position or office as the sitting incumbent following a specified election.
-
C.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
D.
numberOfIncumbents
Indicates the count of entities currently holding a particular position, role, or status at a given time.
-
E.
incumbentBeforeAndAfter
Indicates that the same officeholder remains in position both before and after a specified event or time interval.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:25 a.m.