Triple

T15452219
Position Surface form Disambiguated ID Type / Status
Subject Beautiful Trauma E371680 entity
Predicate hasPart P35 FINISHED
Object 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*.
E1157695 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: But We Lost It | Statement: [Beautiful Trauma, hasPart, But We Lost It]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: But We Lost It
Context triple: [Beautiful Trauma, hasPart, But We Lost It]
  • A. What We’ve Lost
    "What We’ve Lost" is a political critique book by journalist and editor Graydon Carter that examines the perceived decline of American values and institutions in the early 21st century.
  • B. Losing It All
    "Losing It All" is a song by the American metalcore band Lowborn.
  • C. Everything’s Not Lost
    "Everything’s Not Lost" is a reflective, piano-driven closing track by the British rock band Coldplay from their debut album, noted for its gradual build and hopeful tone.
  • D. You Lost Me
    "You Lost Me" is a soulful pop ballad by Christina Aguilera from her 2010 album *Bionic*, noted for its emotional vocals and themes of heartbreak and betrayal.
  • E. Nothing to Lose
    "Nothing to Lose" is a song featured on the punk rock album "Run for Cover."
  • 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: But We Lost It
Triple: [Beautiful Trauma, hasPart, But We Lost It]
Generated description
"But We Lost It" is a song by American singer Pink, featured as a track on her 2017 album *Beautiful Trauma*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: But We Lost It
Target entity description: "But We Lost It" is a song by American singer Pink, featured as a track on her 2017 album *Beautiful Trauma*.
  • A. What We’ve Lost
    "What We’ve Lost" is a political critique book by journalist and editor Graydon Carter that examines the perceived decline of American values and institutions in the early 21st century.
  • B. Losing It All
    "Losing It All" is a song by the American metalcore band Lowborn.
  • C. Everything’s Not Lost
    "Everything’s Not Lost" is a reflective, piano-driven closing track by the British rock band Coldplay from their debut album, noted for its gradual build and hopeful tone.
  • D. You Lost Me
    "You Lost Me" is a soulful pop ballad by Christina Aguilera from her 2010 album *Bionic*, noted for its emotional vocals and themes of heartbreak and betrayal.
  • E. Nothing to Lose
    Nothing to Lose is a thriller novel by Lee Child featuring his iconic drifter hero Jack Reacher as he investigates a sinister conspiracy in two neighboring Colorado towns.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03efaf82c81908b464e37ce9c159a completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b3c5a481908057e94fd84f3cfc completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff23e23b6c81909148a3bbb7288f04 completed May 9, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69ff24c8c43c81909a972dca1ed3cd36 completed May 9, 2026, 12:12 p.m.
Created at: April 10, 2026, 3:30 a.m.