Triple

T19257321
Position Surface form Disambiguated ID Type / Status
Subject There and Back E481548 entity
Predicate hasTrack P3284 FINISHED
Object Too Much to Lose
"Too Much to Lose" is a song featured on the pop album "There and Back."
 E1366233 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: Too Much to Lose | Statement: [There and Back, hasTrack, Too Much to Lose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Too Much to Lose
Context triple: [There and Back, hasTrack, Too Much to Lose]
  • A. 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.
  • B. Nothing to Lose
    "Nothing to Lose" is a song featured on the punk rock album "Run for Cover."
  • C. 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.
  • D. Nothing Left to Lose
    "Nothing Left to Lose" is a song featured on the American rock band Hinder's album "When the Smoke Clears."
  • E. There Is Nothing Left to Lose
    "There Is Nothing Left to Lose" is the Foo Fighters' third studio album, noted for its more melodic, introspective sound and featuring the hit single "Learn to Fly."
  • 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: Too Much to Lose
Triple: [There and Back, hasTrack, Too Much to Lose]
Generated description
"Too Much to Lose" is a song featured on the pop album "There and Back."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Too Much to Lose
Target entity description: "Too Much to Lose" is a song featured on the pop album "There and Back."
  • A. 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.
  • B. Nothing to Lose
    "Nothing to Lose" is a song featured on the punk rock album "Run for Cover."
  • C. 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.
  • D. Nothing Left to Lose
    "Nothing Left to Lose" is a song featured on the American rock band Hinder's album "When the Smoke Clears."
  • E. There Is Nothing Left to Lose
    "There Is Nothing Left to Lose" is the Foo Fighters' third studio album, noted for its more melodic, introspective sound and featuring the hit single "Learn to Fly."
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb862f848190977987e0327ce41d completed April 20, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0705e94604819091157c7b7df406f6 completed May 15, 2026, 11:39 a.m.
NEDg Description generation batch_6a0706a7ff54819095a52f8d77d18060 completed May 15, 2026, 11:42 a.m.
NED2 Entity disambiguation (via description) batch_6a070731b0888190a1f93236b36302a6 completed May 15, 2026, 11:44 a.m.
Created at: April 10, 2026, 1:28 p.m.