Triple
T1513996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Hill |
E32077
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object | Chicago Outfit |
E61472
|
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: Chicago Outfit | Statement: [Virginia Hill, affiliatedWith, Chicago Outfit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chicago Outfit Context triple: [Virginia Hill, affiliatedWith, Chicago Outfit]
-
A.
Chicago Outfit
chosen
The Chicago Outfit is a notorious Italian-American organized crime syndicate based in Chicago, historically one of the most powerful and influential Mafia organizations in the United States.
-
B.
Chicago Machine
Chicago Machine was a professional field lacrosse team that competed in Major League Lacrosse and was based in the Chicago metropolitan area.
-
C.
Chicago Card
Chicago Card was a contactless smart fare card once used for public transit payments in the Chicago area before being phased out in favor of the Ventra system.
-
D.
Southside
"Southside" is a hip-hop track by Common featuring Kanye West, known for its soulful production and reflective lyrics.
-
E.
Loop (Chicago)
Loop (Chicago) is the central downtown business district of Chicago, known for its dense concentration of offices, theaters, shopping, and its iconic elevated "L" train tracks.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907d901ac8190be55ed4bac609d1d |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad23409fd481909834aaf0dc4641f6 |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:26 p.m.