Triple

T9944435
Position Surface form Disambiguated ID Type / Status
Subject Wiz Khalifa E194166 entity
Predicate notableWork P4 FINISHED
Object Black and Yellow
"Black and Yellow" is a 2010 hip-hop single by Wiz Khalifa that became a major commercial hit and an anthem associated with the city of Pittsburgh.
E830357 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: Black and Yellow | Statement: [Wiz Khalifa, notableWork, Black and Yellow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black and Yellow
Context triple: [Wiz Khalifa, notableWork, Black and Yellow]
  • A. Black-and-Red
    Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
  • B. Red, Black & Green
    "Red, Black & Green" is a 1973 jazz-funk album by vibraphonist Roy Ayers that blends soulful grooves with socially conscious themes.
  • C. Orange and Blue
    Orange and Blue is the popular nickname for FC Cincinnati, highlighting the club’s distinctive team colors and identity.
  • D. Geel-zwarten
    Geel-zwarten is a common Dutch nickname referring to the football club Vitesse, derived from the team’s yellow-and-black colors.
  • E. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • 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: Black and Yellow
Triple: [Wiz Khalifa, notableWork, Black and Yellow]
Generated description
"Black and Yellow" is a 2010 hip-hop single by Wiz Khalifa that became a major commercial hit and an anthem associated with the city of Pittsburgh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Black and Yellow
Target entity description: "Black and Yellow" is a 2010 hip-hop single by Wiz Khalifa that became a major commercial hit and an anthem associated with the city of Pittsburgh.
  • A. Black-and-Red
    Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
  • B. Red, Black & Green
    "Red, Black & Green" is a 1973 jazz-funk album by vibraphonist Roy Ayers that blends soulful grooves with socially conscious themes.
  • C. Orange and Blue
    Orange and Blue is the popular nickname for FC Cincinnati, highlighting the club’s distinctive team colors and identity.
  • D. Geel-zwarten
    Geel-zwarten is a common Dutch nickname referring to the football club Vitesse, derived from the team’s yellow-and-black colors.
  • E. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb613fbb48190b82a06987310cc96 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2291a22f88190acf055a7410c1808 completed April 5, 2026, 9:19 a.m.
NEDg Description generation batch_69d229f496c48190bf3bca109b3bc62b completed April 5, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69d22a8494f481909bd6b4936b32679e completed April 5, 2026, 9:25 a.m.
Created at: March 30, 2026, 8:45 p.m.