Triple

T9779924
Position Surface form Disambiguated ID Type / Status
Subject Popo Molefe E237340 entity
Predicate givenName P17 FINISHED
Object Popo
Popo is a South African politician best known for his role in the anti-apartheid movement and leadership within the African National Congress.
 E819834 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: Popo | Statement: [Popo Molefe, givenName, Popo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Popo
Context triple: [Popo Molefe, givenName, Popo]
  • A. 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.
  • B. Papasha
    Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • C. El Popo
    El Popo is the colloquial name for Popocatépetl, one of Mexico’s most active and iconic volcanoes located near Mexico City.
  • D. Piku
    Piku is a 2015 Indian comedy-drama film centered on the relationship between a headstrong daughter and her aging, hypochondriac father, featuring a notable performance by Amitabh Bachchan.
  • E. Polla
    Polla is an ancient Roman cognomen most notably borne by Vespasia Polla, the mother of Emperor Vespasian.
  • 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: Popo
Triple: [Popo Molefe, givenName, Popo]
Generated description
Popo is a South African politician best known for his role in the anti-apartheid movement and leadership within the African National Congress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Popo
Target entity description: Popo is a South African politician best known for his role in the anti-apartheid movement and leadership within the African National Congress.
  • A. 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.
  • B. Papasha
    Papasha is the affectionate Russian nickname for the PPSh-41, a widely used Soviet submachine gun from World War II.
  • C. El Popo
    El Popo is the colloquial name for Popocatépetl, one of Mexico’s most active and iconic volcanoes located near Mexico City.
  • D. Piku
    Piku is a 2015 Indian comedy-drama film centered on the relationship between a headstrong daughter and her aging, hypochondriac father, featuring a notable performance by Amitabh Bachchan.
  • E. Polla
    Polla is an ancient Roman cognomen most notably borne by Vespasia Polla, the mother of Emperor Vespasian.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b0b15881909ef52d0156148c59 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd28b0e48190984cf44d88f324d7 completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1be259b388190bf60b97a6be12715 completed April 5, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69d1bea090b48190ae903036cc79dded completed April 5, 2026, 1:45 a.m.
Created at: March 30, 2026, 8:27 p.m.