Triple
T16724497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodi Rell |
E406433
|
entity |
| Predicate | electedGovernorIn |
P44683
|
FINISHED |
| Object | 2006 Connecticut gubernatorial election |
—
|
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: 2006 Connecticut gubernatorial election | Statement: [Jodi Rell, electedGovernorIn, 2006 Connecticut gubernatorial election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electedGovernorIn Context triple: [Jodi Rell, electedGovernorIn, 2006 Connecticut gubernatorial election]
-
A.
electedAsGovernorInYear
Indicates that a person attained the position of governor in a specified year.
-
B.
succeededInOfficeAsGovernorBy
Indicates that one individual’s term as governor ended and was directly followed by another individual’s term in the same office.
-
C.
governorAfterElection
chosen
Indicates that one entity serves as the governor of a region or jurisdiction following a specified election event.
-
D.
laterGovernor
Indicates that one entity subsequently became the governor of a place or jurisdiction associated with another entity.
-
E.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
- F. None of above.
Provenance (3 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38746c8fc81908b9fade26f37be11 |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.