Triple

T1072554
Position Surface form Disambiguated ID Type / Status
Subject Nobody's Smiling E23361 entity
Predicate featuresArtist P1952 FINISHED
Object Dreezy
Dreezy is an American rapper and singer from Chicago known for her sharp lyricism and contributions to the city's contemporary hip-hop scene.
 E123240 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: Dreezy | Statement: [Nobody's Smiling, featuresArtist, Dreezy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dreezy
Context triple: [Nobody's Smiling, featuresArtist, Dreezy]
  • A. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • B. Rae
    Rae is a given name used across various cultures, often as a short form or variant of names like Rachel or Raymond.
  • C. Brielle
    Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
  • D. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • E. Dina
    Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
  • 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: Dreezy
Triple: [Nobody's Smiling, featuresArtist, Dreezy]
Generated description
Dreezy is an American rapper and singer from Chicago known for her sharp lyricism and contributions to the city's contemporary hip-hop scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dreezy
Target entity description: Dreezy is an American rapper and singer from Chicago known for her sharp lyricism and contributions to the city's contemporary hip-hop scene.
  • A. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • B. Rae
    Rae is a given name used across various cultures, often as a short form or variant of names like Rachel or Raymond.
  • C. Brielle
    Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
  • D. Hayden
    Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
  • E. Dina
    Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b9296c5c8190a3060fbfdf24f029 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a9af14819091d4f2578c6b1c02 completed March 7, 2026, 3:22 p.m.
NEDg Description generation batch_69ac434b7ea081909d5608831e29b5a9 completed March 7, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac43b393748190a5fa81b7ab7fa911 completed March 7, 2026, 3:26 p.m.
Created at: March 1, 2026, 7:42 p.m.