Triple
T25259897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emanuel Cleaver |
E633273
|
entity |
| Predicate | startTime (Mayor of Kansas City, Missouri) |
P162871
|
FINISHED |
| Object | 1991 |
—
|
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: 1991 | Statement: [Emanuel Cleaver, startTime (Mayor of Kansas City, Missouri), 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Mayor of Kansas City, Missouri) Context triple: [Emanuel Cleaver, startTime (Mayor of Kansas City, Missouri), 1991]
-
A.
endTime (Mayor of Kansas City, Missouri)
Indicates the point in time at which a person’s tenure as Mayor of Kansas City, Missouri concludes.
-
B.
startTime (Mayor of Paterson)
Indicates the point in time at which a person begins serving as Mayor of Paterson.
-
C.
startTime (Governor of Kansas Territory)
Indicates the point in time at which an individual’s tenure as Governor of Kansas Territory officially begins.
-
D.
startTime (Mayor of Taipei)
Indicates the specific point in time when a person begins serving as Mayor of Taipei.
-
E.
startTime (Mayor of Florence)
Indicates the point in time at which a person begins serving as Mayor of Florence.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f62e83045c8190a424a2e401a88e9e |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d886828819080ec2f742b9449e3 |
completed | May 2, 2026, 4:59 p.m. |
Created at: April 21, 2026, 1:13 p.m.