Triple
T9780874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Huebel |
E237365
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | Medical Police |
E820638
|
NE 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: Medical Police | Statement: [Rob Huebel, hasActedIn, Medical Police]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medical Police Context triple: [Rob Huebel, hasActedIn, Medical Police]
-
A.
Medical Police
chosen
Medical Police is a satirical comedy series that parodies medical dramas and crime procedurals, following two doctors who become government agents investigating a global pandemic.
-
B.
Detective Service
Detective Service is the investigative division of the South African Police Service responsible for conducting criminal investigations and solving serious crimes.
-
C.
Police
The police are a civil force empowered by the state to maintain public order, enforce laws, and prevent, detect, and investigate crime.
-
D.
Police
Police is a town in northwestern Poland, located in the West Pomeranian Voivodeship near Szczecin.
-
E.
Crime Scene Unit
The Crime Scene Unit is a specialized forensic division that processes and analyzes physical evidence from crime scenes to support criminal investigations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b0b15881909ef52d0156148c59 |
completed | April 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c41b31b08190937f374c2d51aa1b |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:27 p.m.