Triple

T4037115
Position Surface form Disambiguated ID Type / Status
Subject Vic Mensa E83852 entity
Predicate notableWork P4 FINISHED
Object Down on My Luck
"Down on My Luck" is a 2014 house-influenced hip hop single by American rapper Vic Mensa that gained attention for its introspective lyrics and dance-oriented production.
E409627 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: Down on My Luck | Statement: [Vic Mensa, notableWork, Down on My Luck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Down on My Luck
Context triple: [Vic Mensa, notableWork, Down on My Luck]
  • A. My Lucky Day
    "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • B. You Got Lucky
    "You Got Lucky" is a 1982 rock song by Tom Petty and the Heartbreakers, known for its prominent synthesizer riff and its post-apocalyptic themed music video.
  • C. When I’m Down
    "When I’m Down" is a melancholic, jazz-tinged song by Chris Cornell that showcases his soulful vocals and introspective songwriting.
  • D. Lucky Day
    Lucky Day is one of the three bumbling silent-film actors who mistakenly become real-life heroes in the comedy film "Three Amigos."
  • E. Lucky Guy
    Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
  • 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: Down on My Luck
Triple: [Vic Mensa, notableWork, Down on My Luck]
Generated description
"Down on My Luck" is a 2014 house-influenced hip hop single by American rapper Vic Mensa that gained attention for its introspective lyrics and dance-oriented production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Down on My Luck
Target entity description: "Down on My Luck" is a 2014 house-influenced hip hop single by American rapper Vic Mensa that gained attention for its introspective lyrics and dance-oriented production.
  • A. My Lucky Day
    "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • B. You Got Lucky
    "You Got Lucky" is a 1982 rock song by Tom Petty and the Heartbreakers, known for its prominent synthesizer riff and its post-apocalyptic themed music video.
  • C. When I’m Down
    "When I’m Down" is a melancholic, jazz-tinged song by Chris Cornell that showcases his soulful vocals and introspective songwriting.
  • D. Lucky Day
    Lucky Day is one of the three bumbling silent-film actors who mistakenly become real-life heroes in the comedy film "Three Amigos."
  • E. Lucky Guy
    Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb349e648190b9f227df4cd76fa0 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5564436788190aff89ebfeeed6d9b completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b5572b27c48190989311cef00b5f44 completed March 14, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_69b55b333ffc8190a5df8b8d7bffa77f completed March 14, 2026, 12:57 p.m.
Created at: March 9, 2026, 3:36 p.m.