Triple

T12258889
Position Surface form Disambiguated ID Type / Status
Subject Made in Lagos E292169 entity
Predicate notableSingle P3283 FINISHED
Object Smile
"Smile" is a popular Afrobeats single by Nigerian artist Wizkid featuring H.E.R., known for its smooth blend of Afro-fusion and R&B.
E972990 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: Smile | Statement: [Made in Lagos, notableSingle, Smile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smile
Context triple: [Made in Lagos, notableSingle, Smile]
  • A. Smile
    "Smile" is a song featured on the album *The Art of Elegance*, known for its smooth, classic vocal style and refined, jazz-influenced arrangement.
  • B. Smile
    "Smile" is a 2022 American psychological horror film about a therapist who begins experiencing terrifying, seemingly supernatural events after witnessing a patient’s bizarre suicide.
  • C. Smile
    "Smile" is a 2006 pop song by British singer Lily Allen that became her breakthrough hit, known for its upbeat melody contrasted with bittersweet, vengeful lyrics.
  • D. Smile
    "Smile" is a popular country-pop song by American musician Uncle Kracker, known for its upbeat, feel-good lyrics and radio-friendly melody.
  • E. Smile
    "Smile" is a 1975 satirical comedy film that skewers the absurdities of American beauty pageants and small-town ambition.
  • 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: Smile
Triple: [Made in Lagos, notableSingle, Smile]
Generated description
"Smile" is a popular Afrobeats single by Nigerian artist Wizkid featuring H.E.R., known for its smooth blend of Afro-fusion and R&B.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Smile
Target entity description: "Smile" is a popular Afrobeats single by Nigerian artist Wizkid featuring H.E.R., known for its smooth blend of Afro-fusion and R&B.
  • A. Smile chosen
    "Smile" is a smooth, romantic Afrobeats track by Nigerian artist Wizkid featuring H.E.R., known for its mellow vibe and themes of love and gratitude.
  • B. Smile
    "Smile" is a popular country-pop song by American musician Uncle Kracker, known for its upbeat, feel-good lyrics and radio-friendly melody.
  • C. Smile
    "Smile" is a 2006 pop song by British singer Lily Allen that became her breakthrough hit, known for its upbeat melody contrasted with bittersweet, vengeful lyrics.
  • D. Smile
    "Smile" is a song featured on the album *The Art of Elegance*, known for its smooth, classic vocal style and refined, jazz-influenced arrangement.
  • E. Smile
    "Smile" is a 2020 pop album by American singer Katy Perry that explores themes of resilience, self-acceptance, and personal growth.
  • F. None of above.

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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ccadc3c81908fe68adc3fdcc851 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e63da6081908840b1e37fd39b88 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5bc1fc8190af9d74acc307ebe1 completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f6203ef5008190af9103460b096cff completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:52 p.m.