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.