Triple

T22247393
Position Surface form Disambiguated ID Type / Status
Subject Tina Snow E549879 entity
Predicate hasTrack P3284 FINISHED
Object Make a Bag
"Make a Bag" is a hip-hop track by rapper Tina Snow, better known as Megan Thee Stallion, showcasing her confident, money-focused lyricism and assertive Southern style.
 E1526866 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: Make a Bag | Statement: [Tina Snow, hasTrack, Make a Bag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Make a Bag
Context triple: [Tina Snow, hasTrack, Make a Bag]
  • A. BAG
    BAG is the IATA airport code for Loakan Airport serving Baguio City in the Philippines.
  • B. BAG
    BAG is the National Rail station code for Bagshot railway station in Surrey, England.
  • C. BAG
    BAG is the commonly used abbreviation for the Federal Labour Court of Germany, the country’s highest court for labor and employment law disputes.
  • D. BAG
    BAG is the German abbreviation for Switzerland’s Federal Office of Public Health, the national authority responsible for public health policy, disease prevention, and health regulation.
  • E. BAG
    BAG is the London Stock Exchange ticker symbol for A.G. Barr, a British soft drinks manufacturer best known for brands like Irn-Bru.
  • 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: Make a Bag
Triple: [Tina Snow, hasTrack, Make a Bag]
Generated description
"Make a Bag" is a hip-hop track by rapper Tina Snow, better known as Megan Thee Stallion, showcasing her confident, money-focused lyricism and assertive Southern style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Make a Bag
Target entity description: "Make a Bag" is a hip-hop track by rapper Tina Snow, better known as Megan Thee Stallion, showcasing her confident, money-focused lyricism and assertive Southern style.
  • A. BAG
    BAG is the National Rail station code for Bagshot railway station in Surrey, England.
  • B. BAG
    BAG is the commonly used abbreviation for the Federal Labour Court of Germany, the country’s highest court for labor and employment law disputes.
  • C. BAG
    BAG is the German abbreviation for Switzerland’s Federal Office of Public Health, the national authority responsible for public health policy, disease prevention, and health regulation.
  • D. BAG
    BAG is the London Stock Exchange ticker symbol for A.G. Barr, a British soft drinks manufacturer best known for brands like Irn-Bru.
  • E. BAG
    BAG is the IATA airport code for Loakan Airport serving Baguio City in the Philippines.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13218d1f88190b64b7f301328fa98 completed April 28, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab65e6d088190b8ed638d8c57a243 completed May 18, 2026, 6:49 a.m.
NEDg Description generation batch_6a0ab762ba7c8190a3a66c282de66392 completed May 18, 2026, 6:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab7dc8dc08190a65c0a454f018b41 completed May 18, 2026, 6:55 a.m.
Created at: April 16, 2026, 8:38 p.m.