Triple

T8890087
Position Surface form Disambiguated ID Type / Status
Subject Kevin Federline E211639 entity
Predicate notableWork P4 FINISHED
Object PopoZão
PopoZão is a 2006 dance-rap single by Kevin Federline that became widely known and mocked for its perceived poor quality and overhyped release.
 E763716 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: PopoZão | Statement: [Kevin Federline, notableWork, PopoZão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PopoZão
Context triple: [Kevin Federline, notableWork, PopoZão]
  • A. El Popo
    El Popo is the colloquial name for Popocatépetl, one of Mexico’s most active and iconic volcanoes located near Mexico City.
  • B. Papasha
    Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • C. Piquinho
    Piquinho is the prominent summit cone at the top of Mount Pico in the Azores, known as the highest point in Portugal.
  • D. Valtinho
    Valtinho is a Portuguese diminutive form of the given name Valter, commonly used as an affectionate nickname.
  • E. Chigorodó
    Chigorodó is a municipality in Colombia’s Antioquia Department, known for its agricultural production and location in the Urabá region.
  • 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: PopoZão
Triple: [Kevin Federline, notableWork, PopoZão]
Generated description
PopoZão is a 2006 dance-rap single by Kevin Federline that became widely known and mocked for its perceived poor quality and overhyped release.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PopoZão
Target entity description: PopoZão is a 2006 dance-rap single by Kevin Federline that became widely known and mocked for its perceived poor quality and overhyped release.
  • A. El Popo
    El Popo is the colloquial name for Popocatépetl, one of Mexico’s most active and iconic volcanoes located near Mexico City.
  • B. Papasha
    Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • C. Piquinho
    Piquinho is the prominent summit cone at the top of Mount Pico in the Azores, known as the highest point in Portugal.
  • D. Valtinho
    Valtinho is a Portuguese diminutive form of the given name Valter, commonly used as an affectionate nickname.
  • E. Chigorodó
    Chigorodó is a municipality in Colombia’s Antioquia Department, known for its agricultural production and location in the Urabá region.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc619188508190aacda410f0b4c98d completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabf01d048190bed52b5b001d7ffa completed April 3, 2026, noon
NEDg Description generation batch_69cfac9d65ac8190a8234e9999d14ec1 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad0a02888190a960e7b551ca2534 completed April 3, 2026, 12:05 p.m.
Created at: March 30, 2026, 6:53 p.m.