Triple

T12991347
Position Surface form Disambiguated ID Type / Status
Subject Selebobo E321912 entity
Predicate notableWork P4 FINISHED
Object Yoyo
"Yoyo" is a popular Afropop song by Nigerian singer and producer Selebobo, known for its catchy melody and danceable rhythm.
 E1014013 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: Yoyo | Statement: [Selebobo, notableWork, Yoyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yoyo
Context triple: [Selebobo, notableWork, Yoyo]
  • A. Yo-Yo
    Yo-Yo is the given name of Yo-Yo Ma, the renowned Chinese-American cellist celebrated for his virtuosity and diverse musical collaborations.
  • B. Yo-Yo
    Yo-Yo is an American rapper and actress known for her socially conscious lyrics and prominent role in early 1990s West Coast hip hop.
  • C. Yo Yo
    "Yo Yo" is a song featured on the soundtrack album for the film "Car Wash."
  • D. Yo Yo Yo
    "Yo Yo Yo" is a track featured on the indie rock compilation album "Take 'Em to the Cleaners" by the band The Cleaners from Venus.
  • E. Yo!
    "Yo!" is a novel by Dominican-American author Julia Alvarez that explores identity, storytelling, and cultural displacement through the fragmented perspectives of people surrounding a writer nicknamed Yo.
  • 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: Yoyo
Triple: [Selebobo, notableWork, Yoyo]
Generated description
"Yoyo" is a popular Afropop song by Nigerian singer and producer Selebobo, known for its catchy melody and danceable rhythm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yoyo
Target entity description: "Yoyo" is a popular Afropop song by Nigerian singer and producer Selebobo, known for its catchy melody and danceable rhythm.
  • A. Yo-Yo
    Yo-Yo is an American rapper and actress known for her socially conscious lyrics and prominent role in early 1990s West Coast hip hop.
  • B. Yo-Yo
    Yo-Yo is the given name of Yo-Yo Ma, the renowned Chinese-American cellist celebrated for his virtuosity and diverse musical collaborations.
  • C. Yo Yo
    "Yo Yo" is a song featured on the soundtrack album for the film "Car Wash."
  • D. Yo Yo Yo
    "Yo Yo Yo" is a track featured on the indie rock compilation album "Take 'Em to the Cleaners" by the band The Cleaners from Venus.
  • E. Yo!
    "Yo!" is a novel by Dominican-American author Julia Alvarez that explores identity, storytelling, and cultural displacement through the fragmented perspectives of people surrounding a writer nicknamed Yo.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fb70f481908a9a4ca04d6bf93b completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6baa76e8c8190b84fd31657ef3385 completed May 3, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 8:43 p.m.