Triple
T34910989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Connecticut gubernatorial election |
E1006863
|
entity |
| Predicate | governorWinnerFullName |
P203434
|
FINISHED |
| Object | Dannel Patrick Malloy |
—
|
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: Dannel Patrick Malloy | Statement: [2014 Connecticut gubernatorial election, governorWinnerFullName, Dannel Patrick Malloy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorWinnerFullName Context triple: [2014 Connecticut gubernatorial election, governorWinnerFullName, Dannel Patrick Malloy]
-
A.
governorWinnerParty
Indicates the political party to which the winning candidate for a governor’s election belongs.
-
B.
governorWinnerPopularVotePercentage
Indicates the percentage of the total popular vote received by the winning candidate in a gubernatorial election.
-
C.
governorshipOutcome
Indicates the result or status of a gubernatorial contest or tenure, such as whether a candidate or officeholder won, lost, or otherwise concluded their governorship.
-
D.
currentGovernor
Indicates that one entity is the person who presently holds the office of governor of the other entity.
-
E.
lieutenantGovernorWinnerParty
Indicates the political party affiliation of the candidate who won the lieutenant governor election.
- 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a017d27e184819094638c3cf6876de4 |
completed | May 11, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_6a017c785a44819083111384b55769e9 |
completed | May 11, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_6a017d270e9881909e70280ff4e45e9a |
completed | May 11, 2026, 6:54 a.m. |
Created at: May 3, 2026, 4 p.m.