Triple
T31446316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 United States Senate special election in New York |
E802195
|
entity |
| Predicate | appointedIncumbent |
P185964
|
FINISHED |
| Object | Kirsten Gillibrand |
—
|
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: Kirsten Gillibrand | Statement: [2010 United States Senate special election in New York, appointedIncumbent, Kirsten Gillibrand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointedIncumbent Context triple: [2010 United States Senate special election in New York, appointedIncumbent, Kirsten Gillibrand]
-
A.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
B.
incumbentOffice
Indicates that a person currently holds and serves in a specified office or position.
-
C.
hasHadIncumbent
Indicates that an entity has previously served as the incumbent (current holder) of a particular position or role.
-
D.
incumbentAfterElection
Indicates that an entity holds a position or office as the sitting incumbent following a specified election.
-
E.
backedIncumbent
Indicates that a person or organization provided support to the current officeholder or existing position-holder, typically in a political or competitive context.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: April 30, 2026, 9:09 p.m.