Triple
T3981193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathleen Sebelius |
E85761
|
entity |
| Predicate | officeStartTime (Governor of Kansas) |
P16360
|
FINISHED |
| Object | 2003-01-13 |
—
|
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: 2003-01-13 | Statement: [Kathleen Sebelius, officeStartTime (Governor of Kansas), 2003-01-13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Governor of Kansas) Context triple: [Kathleen Sebelius, officeStartTime (Governor of Kansas), 2003-01-13]
-
A.
officeStartTime (Governor of California)
Indicates the time at which the Governor of California officially begins their term in office.
-
B.
officeStartTime (Governor of Illinois)
Indicates the time at which the Governor of Illinois officially begins their term in office.
-
C.
officeStartTime (Governor of Tennessee)
Indicates the time at which the Governor of Tennessee officially begins their term in office.
-
D.
officeStartTime (Chief of the Defence Force)
Indicates the time at which the person begins their term in the role of Chief of the Defence Force.
-
E.
currentGovernorStartDate
chosen
Indicates the date on which the entity’s current governorship officially began.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.