Triple

T2845068
Position Surface form Disambiguated ID Type / Status
Subject Sarkodie E62563 entity
Predicate notableSong P4 FINISHED
Object Lucky
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
 E304800 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: Lucky | Statement: [Sarkodie, notableSong, Lucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lucky
Context triple: [Sarkodie, notableSong, Lucky]
  • A. To-Lucky
    To-Lucky is one of the official mascots of Japan’s Hanshin Tigers baseball team, typically depicted as a cheerful anthropomorphic tiger supporting the club at games and events.
  • B. LuckyMe
    LuckyMe is a Scottish independent record label and arts collective known for its forward-thinking electronic, hip-hop, and experimental music releases.
  • C. Lucky Guy
    Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
  • D. Luckies
    Luckies is a popular nickname for Lucky Strike, a historic American cigarette brand known for its distinctive packaging and long-standing presence in tobacco marketing.
  • E. Lucky Town
    Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
  • 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: Lucky
Triple: [Sarkodie, notableSong, Lucky]
Generated description
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lucky
Target entity description: "Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
  • A. To-Lucky
    To-Lucky is one of the official mascots of Japan’s Hanshin Tigers baseball team, typically depicted as a cheerful anthropomorphic tiger supporting the club at games and events.
  • B. LuckyMe
    LuckyMe is a Scottish independent record label and arts collective known for its forward-thinking electronic, hip-hop, and experimental music releases.
  • C. Lucky Guy
    Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
  • D. Luckies
    Luckies is a popular nickname for Lucky Strike, a historic American cigarette brand known for its distinctive packaging and long-standing presence in tobacco marketing.
  • E. Lucky Town
    Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1b58c88190b45d8c5a76dc52ac completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d7c84e8819098089bd1c6874189 completed March 10, 2026, 1:32 p.m.
NEDg Description generation batch_69b01f57fe688190b3cd44a3247f2951 completed March 10, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69b020cd0324819098b820174d55963a completed March 10, 2026, 1:46 p.m.
Created at: March 6, 2026, 10:02 p.m.