Triple

T17524003
Position Surface form Disambiguated ID Type / Status
Subject Kane Brown E426748 entity
Predicate notableWork P4 FINISHED
Object Lose It
"Lose It" is a 2018 country song by American singer Kane Brown that blends modern country-pop production with themes of love and escape.
 E1274491 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: Lose It | Statement: [Kane Brown, notableWork, Lose It]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lose It
Context triple: [Kane Brown, notableWork, Lose It]
  • A. Losing It
    "Losing It" is a popular song by Canadian country duo R. City that showcases their blend of Caribbean-influenced pop and contemporary R&B.
  • B. Just Lose It
    "Just Lose It" is a comedic hip hop single by Eminem, best known for its parody of Michael Jackson and its controversial music video.
  • C. Losing It All
    "Losing It All" is a song by the American metalcore band Lowborn.
  • D. But We Lost It
    "But We Lost It" is a song by American singer Pink, featured as a track on her 2017 album *Beautiful Trauma*.
  • E. Born to Lose
    "Born to Lose" is a signature punk rock song by Johnny Thunders and the Heartbreakers, emblematic of the raw, rebellious New York punk scene of the 1970s.
  • 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: Lose It
Triple: [Kane Brown, notableWork, Lose It]
Generated description
"Lose It" is a 2018 country song by American singer Kane Brown that blends modern country-pop production with themes of love and escape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lose It
Target entity description: "Lose It" is a 2018 country song by American singer Kane Brown that blends modern country-pop production with themes of love and escape.
  • A. Losing It
    "Losing It" is a popular song by Canadian country duo R. City that showcases their blend of Caribbean-influenced pop and contemporary R&B.
  • B. Just Lose It
    "Just Lose It" is a comedic hip hop single by Eminem, best known for its parody of Michael Jackson and its controversial music video.
  • C. Losing It All
    "Losing It All" is a song by the American metalcore band Lowborn.
  • D. But We Lost It
    "But We Lost It" is a song by American singer Pink, featured as a track on her 2017 album *Beautiful Trauma*.
  • E. Born to Lose
    "Born to Lose" is a signature punk rock song by Johnny Thunders and the Heartbreakers, emblematic of the raw, rebellious New York punk scene of the 1970s.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d4db60819096a03dbc4254850f completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c9452ab08190a0539964b1b90f86 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cabea2b48190a690b17a88d45b40 completed May 11, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a01cefa08f8819086cb86ce22193baa completed May 11, 2026, 12:43 p.m.
Created at: April 10, 2026, 5:49 a.m.