Triple

T3983450
Position Surface form Disambiguated ID Type / Status
Subject Who Gon Stop Me E86813 entity
Predicate producer P490 FINISHED
Object Sak Pase
Sak Pase is a music producer best known for his work in hip-hop and pop, including collaborations with major artists like Jay-Z and Kanye West.
 E404782 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: Sak Pase | Statement: [Who Gon Stop Me, producer, Sak Pase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sak Pase
Context triple: [Who Gon Stop Me, producer, Sak Pase]
  • A. Nai Sarak
    Nai Sarak is a bustling commercial street in Old Delhi known for its dense concentration of bookshops, stationery stores, and educational supply outlets.
  • B. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • C. Sasima
    Sasima was an obscure town in ancient Cappadocia, best known as the short-lived and reluctant episcopal see of Gregory of Nazianzus in the 4th century.
  • D. Sakakah
    Sakakah is a city in northwestern Saudi Arabia that serves as the administrative and economic center of the Al Jawf Region.
  • E. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • 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: Sak Pase
Triple: [Who Gon Stop Me, producer, Sak Pase]
Generated description
Sak Pase is a music producer best known for his work in hip-hop and pop, including collaborations with major artists like Jay-Z and Kanye West.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sak Pase
Target entity description: Sak Pase is a music producer best known for his work in hip-hop and pop, including collaborations with major artists like Jay-Z and Kanye West.
  • A. Nai Sarak
    Nai Sarak is a bustling commercial street in Old Delhi known for its dense concentration of bookshops, stationery stores, and educational supply outlets.
  • B. Sakae
    Sakae is a major downtown commercial and entertainment district in Nagoya, Japan, known for its shopping, nightlife, and landmark attractions.
  • C. Sasima
    Sasima was an obscure town in ancient Cappadocia, best known as the short-lived and reluctant episcopal see of Gregory of Nazianzus in the 4th century.
  • D. Sakakah
    Sakakah is a city in northwestern Saudi Arabia that serves as the administrative and economic center of the Al Jawf Region.
  • E. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dd351c81909605bc2605f541e1 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540284d548190821d37b68974a2d2 completed March 14, 2026, 11:02 a.m.
NEDg Description generation batch_69b54126234c8190990cf6df84a83e92 completed March 14, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69b5458d736481908ca826fa4fd01b8c completed March 14, 2026, 11:25 a.m.
Created at: March 9, 2026, 3:33 p.m.