Triple

T15195683
Position Surface form Disambiguated ID Type / Status
Subject Painted Ruins E363132 entity
Predicate hasTrack P3284 FINISHED
Object Losing All Sense
"Losing All Sense" is a song by the American indie rock band Grizzly Bear from their 2017 album *Painted Ruins*, noted for its intricate arrangements and atmospheric production.
 E1143225 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: Losing All Sense | Statement: [Painted Ruins, hasTrack, Losing All Sense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Losing All Sense
Context triple: [Painted Ruins, hasTrack, Losing All Sense]
  • A. Losing It All
    "Losing It All" is a song by the American metalcore band Lowborn.
  • B. 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.
  • C. 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.
  • D. Nothing to Lose
    "Nothing to Lose" is a song featured on the punk rock album "Run for Cover."
  • E. Nothing to Lose
    Nothing to Lose is a 1997 American buddy comedy film starring Tim Robbins and Martin Lawrence, written and directed by Steve Oedekerk.
  • 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: Losing All Sense
Triple: [Painted Ruins, hasTrack, Losing All Sense]
Generated description
"Losing All Sense" is a song by the American indie rock band Grizzly Bear from their 2017 album *Painted Ruins*, noted for its intricate arrangements and atmospheric production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Losing All Sense
Target entity description: "Losing All Sense" is a song by the American indie rock band Grizzly Bear from their 2017 album *Painted Ruins*, noted for its intricate arrangements and atmospheric production.
  • A. Losing It All
    "Losing It All" is a song by the American metalcore band Lowborn.
  • B. 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.
  • C. 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.
  • D. Nothing to Lose
    "Nothing to Lose" is a song featured on the punk rock album "Run for Cover."
  • E. Nothing to Lose
    Nothing to Lose is a 1997 American buddy comedy film starring Tim Robbins and Martin Lawrence, written and directed by Steve Oedekerk.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067fcc788190abdc083d4eadeb36 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3324fdc8190b31d4d2fcaffc57a completed May 9, 2026, 6:24 a.m.
NEDg Description generation batch_69fed44b2e3c8190aad111e2bc2b56a2 completed May 9, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69fed547192c8190b89755fff48ca620 completed May 9, 2026, 6:33 a.m.
Created at: April 10, 2026, 3:10 a.m.