Triple

T15593875
Position Surface form Disambiguated ID Type / Status
Subject Writer E374819 entity
Predicate includesTrack P3284 FINISHED
Object What Have You Got to Lose
"What Have You Got to Lose" is a song best known as a track written and recorded by the British rock band The Wrens.
 E1166679 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: What Have You Got to Lose | Statement: [Writer, includesTrack, What Have You Got to Lose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: What Have You Got to Lose
Context triple: [Writer, includesTrack, What Have You Got to Lose]
  • A. 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."
  • B. Nothing Left to Lose
    "Nothing Left to Lose" is a song featured on the American rock band Hinder's album "When the Smoke Clears."
  • 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: What Have You Got to Lose
Triple: [Writer, includesTrack, What Have You Got to Lose]
Generated description
"What Have You Got to Lose" is a song best known as a track written and recorded by the British rock band The Wrens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: What Have You Got to Lose
Target entity description: "What Have You Got to Lose" is a song best known as a track written and recorded by the British rock band The Wrens.
  • A. 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."
  • B. Nothing Left to Lose
    "Nothing Left to Lose" is a song featured on the American rock band Hinder's album "When the Smoke Clears."
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c7db58819089cb488fb3ea96cd completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff58687e4c8190a4054c4d5419a76a completed May 9, 2026, 3:53 p.m.
NED2 Entity disambiguation (via description) batch_69ff58d92218819085877be120fdcc01 completed May 9, 2026, 3:55 p.m.
Created at: April 10, 2026, 4:12 a.m.