Triple
T26203626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 New Jersey gubernatorial election |
E655301
|
entity |
| Predicate | resultedInGovernor |
P90691
|
FINISHED |
| Object | Phil Murphy |
—
|
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: Phil Murphy | Statement: [2017 New Jersey gubernatorial election, resultedInGovernor, Phil Murphy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultedInGovernor Context triple: [2017 New Jersey gubernatorial election, resultedInGovernor, Phil Murphy]
-
A.
governorshipOutcome
chosen
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.
-
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.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
-
D.
laterGovernor
Indicates that one entity subsequently became the governor of a place or jurisdiction associated with another entity.
-
E.
electedAsGovernorInYear
Indicates that a person attained the position of governor in a specified year.
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 26, 2026, 8:49 p.m.