Triple
T29094389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Che Rhymefest Smith |
E734949
|
entity |
| Predicate | ranForOfficeIn |
P166308
|
FINISHED |
| Object | Chicago, Illinois, United States |
—
|
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: Chicago, Illinois, United States | Statement: [Che Rhymefest Smith, ranForOfficeIn, Chicago, Illinois, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ranForOfficeIn Context triple: [Che Rhymefest Smith, ranForOfficeIn, Chicago, Illinois, United States]
-
A.
ranForOffice
Indicates that an entity was a candidate seeking election to a public or organizational office.
-
B.
ranForOfficeYear
Indicates that an entity was a candidate for a public office in a specified year.
-
C.
ranForOfficeWithParty
Indicates that a person was a candidate in an election representing or affiliated with a specific political party.
-
D.
ranIn
Indicates that an entity performed a running action within or during a specified location, context, or time frame.
-
E.
ranOn
Indicates that an entity executed or operated on a particular platform, system, or environment.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6618069888190aa87dd09a751a2c2 |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 11:07 a.m.