Triple
T34750067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John A. Cherberg |
E1001744
|
entity |
| Predicate | notableOfficeTenure |
P59478
|
FINISHED |
| Object | longest-tenured lieutenant governor of Washington |
—
|
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: longest-tenured lieutenant governor of Washington | Statement: [John A. Cherberg, notableOfficeTenure, longest-tenured lieutenant governor of Washington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableOfficeTenure Context triple: [John A. Cherberg, notableOfficeTenure, longest-tenured lieutenant governor of Washington]
-
A.
notableOfficePeriod
Indicates that an entity held a particular office or position during a specified time period.
-
B.
notableFormerOfficeHolderRole
chosen
Indicates that an entity previously held a particular official position or role that is considered notable.
-
C.
notableOfficeHolder
Indicates that an entity is a significant or distinguished holder of a particular office or position associated with another entity.
-
D.
periodOfKeyPoliticalRole
Indicates the time span during which an entity held a particular key political role or office.
-
E.
hasNamesakeNotableOfficeEndYear
Indicates that the namesake of an entity held a notable office or position that ended in the 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.