Triple

T1627731
Position Surface form Disambiguated ID Type / Status
Subject D'banj E35184 entity
Predicate notableWork P4 FINISHED
Object Fall in Love
"Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
E184918 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: Fall in Love | Statement: [D'banj, notableWork, Fall in Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fall in Love
Context triple: [D'banj, notableWork, Fall in Love]
  • A. Falling in Love with Love
    "Falling in Love with Love" is a popular show tune by composer Richard Rodgers and lyricist Lorenz Hart, introduced in the 1938 musical "The Boys from Syracuse."
  • B. Fell for You
    "Fell for You" is a pop-punk song by Green Day from their 2012 album ¡Uno!.
  • C. Falling into You
    Falling into You is a Grammy-winning 1996 pop album by Celine Dion that became one of her most commercially successful and critically acclaimed releases.
  • D. True Love
    "True Love" is a popular romantic song by Cole Porter, introduced by Bing Crosby and Grace Kelly in the 1956 film musical *High Society* and later recorded by numerous artists.
  • E. Why I Love You
    "Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
  • 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: Fall in Love
Triple: [D'banj, notableWork, Fall in Love]
Generated description
"Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fall in Love
Target entity description: "Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
  • A. Falling in Love with Love
    "Falling in Love with Love" is a popular show tune by composer Richard Rodgers and lyricist Lorenz Hart, introduced in the 1938 musical "The Boys from Syracuse."
  • B. Fell for You
    "Fell for You" is a pop-punk song by Green Day from their 2012 album ¡Uno!.
  • C. Falling into You
    Falling into You is a Grammy-winning 1996 pop album by Celine Dion that became one of her most commercially successful and critically acclaimed releases.
  • D. True Love
    "True Love" is a popular romantic song by Cole Porter, introduced by Bing Crosby and Grace Kelly in the 1956 film musical *High Society* and later recorded by numerous artists.
  • E. Why I Love You
    "Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622ca9bc8190b99e90295cb01646 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d3808c819086a4a66e66905e8a completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a7f592881909b8fd45444e6d715 completed March 8, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ad5b64a1f0819087338ee504f70f5c completed March 8, 2026, 11:20 a.m.
Created at: March 4, 2026, 7:28 p.m.