Triple
T8452918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Collar |
E199843
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Chicago-Rillas
"Chicago-Rillas" is a song by the rapper Blue Collar.
|
E734956
|
NE FINISHED |
How this triple was built (4 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-Rillas | Statement: [Blue Collar, hasTrack, Chicago-Rillas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chicago-Rillas Context triple: [Blue Collar, hasTrack, Chicago-Rillas]
-
A.
Illinois–Chicago
Illinois–Chicago refers to the University of Illinois at Chicago (UIC), a major public research university located in Chicago, Illinois.
-
B.
Nueva Chicago
Nueva Chicago is an Argentine football club based in the Mataderos neighborhood of Buenos Aires, known for its passionate fan base and history in the country's professional leagues.
-
C.
Schmicago
Schmicago is the second season of the musical comedy series "Schmigadoon!", parodying and paying homage to the darker, edgier musicals of the 1960s and 1970s.
-
D.
Chicago Machine
Chicago Machine was a professional field lacrosse team that competed in Major League Lacrosse and was based in the Chicago metropolitan area.
-
E.
Chicago West
Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chicago-Rillas Triple: [Blue Collar, hasTrack, Chicago-Rillas]
Generated description
"Chicago-Rillas" is a song by the rapper Blue Collar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chicago-Rillas Target entity description: "Chicago-Rillas" is a song by the rapper Blue Collar.
-
A.
Illinois–Chicago
Illinois–Chicago refers to the University of Illinois at Chicago (UIC), a major public research university located in Chicago, Illinois.
-
B.
Nueva Chicago
Nueva Chicago is an Argentine football club based in the Mataderos neighborhood of Buenos Aires, known for its passionate fan base and history in the country's professional leagues.
-
C.
Schmicago
Schmicago is the second season of the musical comedy series "Schmigadoon!", parodying and paying homage to the darker, edgier musicals of the 1960s and 1970s.
-
D.
Chicago Machine
Chicago Machine was a professional field lacrosse team that competed in Major League Lacrosse and was based in the Chicago metropolitan area.
-
E.
Chicago West
Chicago West is the daughter of American rapper and producer Kanye West and media personality Kim Kardashian.
- F. None of above. chosen
Provenance (5 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48aee388190864ef1186d5ee419 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dda289c81908e0cc8e1a504caa1 |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce1eddb9988190a77ab59f2867ad5d |
completed | April 2, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1fb9b03c819089976283e1c53ca5 |
completed | April 2, 2026, 7:50 a.m. |
Created at: March 30, 2026, 6:09 p.m.