Triple
T25259898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emanuel Cleaver |
E633273
|
entity |
| Predicate | endTime (Mayor of Kansas City, Missouri) |
P160908
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Emanuel Cleaver, endTime (Mayor of Kansas City, Missouri), 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (Mayor of Kansas City, Missouri) Context triple: [Emanuel Cleaver, endTime (Mayor of Kansas City, Missouri), 1999]
-
A.
endTime (Governor of Kansas Territory)
Indicates the point in time at which an individual’s tenure as Governor of Kansas Territory concludes.
-
B.
endTime (Mayor of Paterson)
Indicates the point in time at which a person’s tenure as Mayor of Paterson concludes.
-
C.
endTime (Governor of Oklahoma)
Indicates the date and time at which a person’s tenure as Governor of Oklahoma concludes.
-
D.
endTime (Governor of Wisconsin Territory)
Indicates the point in time at which an individual’s tenure as Governor of Wisconsin Territory concludes.
-
E.
endTime (Mayor of Taipei)
Indicates the point in time at which a person’s tenure as Mayor of Taipei concludes.
- 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_69f60cd7b3e88190a1206958c0f0b225 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c32ce088190a620eb59d2499fa9 |
completed | May 2, 2026, 2:37 p.m. |
Created at: April 21, 2026, 1:13 p.m.