Triple
T15571816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John DiFronzo |
E374261
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object |
No Nose
No Nose was the nickname of John DiFronzo, a prominent Chicago mob boss and reputed leader of the Chicago Outfit.
|
E1165223
|
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: No Nose | Statement: [John DiFronzo, alias, No Nose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No Nose Context triple: [John DiFronzo, alias, No Nose]
-
A.
No Nose Job
"No Nose Job" is a humorous hip-hop track by Digital Underground that satirically critiques beauty standards and cosmetic surgery.
-
B.
NoNoseKnows
NoNoseKnows is a surreal, multi-channel video installation by artist Mika Rottenberg that explores themes of labor, absurdity, and sensory experience through bizarre, factory-like scenarios.
-
C.
the Nose
The Nose is the absurd, anthropomorphized facial feature that becomes an independent character in Nikolai Gogol’s satirical short story of the same name.
-
D.
Nose
Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
-
E.
No Air
"No Air" is a 2007 pop and R&B duet by Jordin Sparks and Chris Brown that became a major international hit known for its powerful vocals and emotional lyrics.
- 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: No Nose Triple: [John DiFronzo, alias, No Nose]
Generated description
No Nose was the nickname of John DiFronzo, a prominent Chicago mob boss and reputed leader of the Chicago Outfit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: No Nose Target entity description: No Nose was the nickname of John DiFronzo, a prominent Chicago mob boss and reputed leader of the Chicago Outfit.
-
A.
No Nose Job
"No Nose Job" is a humorous hip-hop track by Digital Underground that satirically critiques beauty standards and cosmetic surgery.
-
B.
NoNoseKnows
NoNoseKnows is a surreal, multi-channel video installation by artist Mika Rottenberg that explores themes of labor, absurdity, and sensory experience through bizarre, factory-like scenarios.
-
C.
the Nose
The Nose is the absurd, anthropomorphized facial feature that becomes an independent character in Nikolai Gogol’s satirical short story of the same name.
-
D.
Nose
Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
-
E.
No Air
"No Air" is a 2007 pop and R&B duet by Jordin Sparks and Chris Brown that became a major international hit known for its powerful vocals and emotional lyrics.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2025888190a2b6240296bba13e |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4767e48190a180062688cdc245 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff507a84c081909ab592497be644fb |
completed | May 9, 2026, 3:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff50f653f48190ae5bd6fcb5665041 |
completed | May 9, 2026, 3:21 p.m. |
Created at: April 10, 2026, 4:10 a.m.