Triple

T7963929
Position Surface form Disambiguated ID Type / Status
Subject Boogz & Tapez E184949 entity
Predicate hasMember P10 FINISHED
Object Tapez
Tapez is a music artist best known as one half of the duo Boogz & Tapez.
 E703378 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: Tapez | Statement: [Boogz & Tapez, hasMember, Tapez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tapez
Context triple: [Boogz & Tapez, hasMember, Tapez]
  • A. Tappin
    Tappin is a professional collaborator or business partner associated with Joseph Reed.
  • B. Toinette
    Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
  • C. Taze
    Taze is the middle name of Charles Taze Russell, the American religious leader who founded the Bible Student movement and was an early influence on Jehovah’s Witnesses.
  • D. Paite
    Paite are an indigenous ethnic community of the broader Mizo group, primarily inhabiting parts of Northeast India and Myanmar, with their own distinct language and cultural traditions.
  • E. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • 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: Tapez
Triple: [Boogz & Tapez, hasMember, Tapez]
Generated description
Tapez is a music artist best known as one half of the duo Boogz & Tapez.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tapez
Target entity description: Tapez is a music artist best known as one half of the duo Boogz & Tapez.
  • A. Tappin
    Tappin is a professional collaborator or business partner associated with Joseph Reed.
  • B. Toinette
    Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
  • C. Taze
    Taze is the middle name of Charles Taze Russell, the American religious leader who founded the Bible Student movement and was an early influence on Jehovah’s Witnesses.
  • D. Paite
    Paite are an indigenous ethnic community of the broader Mizo group, primarily inhabiting parts of Northeast India and Myanmar, with their own distinct language and cultural traditions.
  • E. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9f577481908589d10fdc486abb completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe093f00881909317eb4dd4fa1393 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cbe43b20148190ba9a4dd00a9f5862 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc3307ebd481908c1ec4b0be270a77 completed March 31, 2026, 8:48 p.m.
Created at: March 30, 2026, 5:12 p.m.