Triple

T6478755
Position Surface form Disambiguated ID Type / Status
Subject Digital Underground E146135 entity
Predicate single P3283 FINISHED
Object No Nose Job
"No Nose Job" is a humorous hip-hop track by Digital Underground that satirically critiques beauty standards and cosmetic surgery.
E597044 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 Job | Statement: [Digital Underground, single, No Nose Job]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: No Nose Job
Context triple: [Digital Underground, single, No Nose Job]
  • A. Nose
    Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
  • B. 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.
  • C. No Stylist
    "No Stylist" is a 2018 hip-hop single by French Montana featuring Drake, known for its luxury-themed lyrics and high-profile collaboration.
  • D. NO-DO
    NO-DO was the official state-controlled newsreel service of Francoist Spain, used as a key propaganda tool in cinemas from the 1940s to the 1970s.
  • 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 Job
Triple: [Digital Underground, single, No Nose Job]
Generated description
"No Nose Job" is a humorous hip-hop track by Digital Underground that satirically critiques beauty standards and cosmetic surgery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: No Nose Job
Target entity description: "No Nose Job" is a humorous hip-hop track by Digital Underground that satirically critiques beauty standards and cosmetic surgery.
  • A. Nose
    Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
  • B. 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.
  • C. No Stylist
    "No Stylist" is a 2018 hip-hop single by French Montana featuring Drake, known for its luxury-themed lyrics and high-profile collaboration.
  • D. NO-DO
    NO-DO was the official state-controlled newsreel service of Francoist Spain, used as a key propaganda tool in cinemas from the 1940s to the 1970s.
  • 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_69c008fec7408190af7b146dc63d9750 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a4d35f08190a94143367b1d45c5 completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653aa82808190a1e9d420e81d7839 completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6542017f4819085efe545dd25060f completed March 27, 2026, 9:55 a.m.
NED2 Entity disambiguation (via description) batch_69c656d3533c819091a4255e354eccab completed March 27, 2026, 10:07 a.m.
Created at: March 22, 2026, 4:51 p.m.