Triple
T26192160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Ruzek |
E654993
|
entity |
| Predicate | departmentInFiction |
P78750
|
FINISHED |
| Object | Chicago Police Department Intelligence Unit |
—
|
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 Police Department Intelligence Unit | Statement: [Adam Ruzek, departmentInFiction, Chicago Police Department Intelligence Unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: departmentInFiction Context triple: [Adam Ruzek, departmentInFiction, Chicago Police Department Intelligence Unit]
-
A.
hasDepartmentInFiction
chosen
Indicates that a fictional work includes or features a specific department as part of its setting or narrative.
-
B.
newsDivisionHeadInFiction
Indicates that a character serves as the head of a news division within a fictional work.
-
C.
serviceBranchInFiction
Indicates that a fictional character, organization, or entity is depicted as serving in a particular branch of the armed forces within a work of fiction.
-
D.
department
Indicates that one entity functions as an organizational unit or division within another, typically larger, entity.
-
E.
workInFiction
Indicates that one entity is a fictional work in which the other entity appears or is set.
- 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60ca35e808190b5ec91d212f10cf3 |
completed | May 2, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:44 p.m.