Triple

T1921620
Position Surface form Disambiguated ID Type / Status
Subject Working on a Dream E40136 entity
Predicate hasTrack P3284 FINISHED
Object My Lucky Day
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
 E217022 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: My Lucky Day | Statement: [Working on a Dream, hasTrack, My Lucky Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: My Lucky Day
Context triple: [Working on a Dream, hasTrack, My Lucky Day]
  • A. 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.
  • B. Make My Day
    "Make My Day" is a track by rapper Common from his album "Universal Mind Control," showcasing his blend of hip hop with futuristic, electronic-influenced production.
  • C. Lucky Town
    Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
  • D. On a Good Day
    "On a Good Day" is a brief, piano-driven folk song by Joanna Newsom, known for its delicate melody and introspective lyrics.
  • E. Cherish the Day
    Cherish the Day is an anthology romantic drama television series created by Ava DuVernay that explores the evolution of Black love through intimate, character-driven storytelling.
  • 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: My Lucky Day
Triple: [Working on a Dream, hasTrack, My Lucky Day]
Generated description
"My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: My Lucky Day
Target entity description: "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • A. 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.
  • B. Make My Day
    "Make My Day" is a track by rapper Common from his album "Universal Mind Control," showcasing his blend of hip hop with futuristic, electronic-influenced production.
  • C. Lucky Town
    Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
  • D. On a Good Day
    "On a Good Day" is a brief, piano-driven folk song by Joanna Newsom, known for its delicate melody and introspective lyrics.
  • E. Cherish the Day
    Cherish the Day is an anthology romantic drama television series created by Ava DuVernay that explores the evolution of Black love through intimate, character-driven storytelling.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb233011881908736523d36f01b0c completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3e458e8819098ea1c2d5598f890 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf4cd91008190ada815601d9f76b4 completed March 8, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69adf5681ea88190979237322fd2785b completed March 8, 2026, 10:17 p.m.
Created at: March 4, 2026, 7:35 p.m.