Triple

T14535538
Position Surface form Disambiguated ID Type / Status
Subject Steve Oedekerk E341033 entity
Predicate notableWork P4 FINISHED
Object 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.
 E1104825 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: Nothing to Lose | Statement: [Steve Oedekerk, notableWork, Nothing to Lose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nothing to Lose
Context triple: [Steve Oedekerk, notableWork, Nothing to Lose]
  • A. Nothing to Lose
    "Nothing to Lose" is a song featured on the punk rock album "Run for Cover."
  • B. 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.
  • C. 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."
  • 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. 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.
  • 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: Nothing to Lose
Triple: [Steve Oedekerk, notableWork, Nothing to Lose]
Generated description
Nothing to Lose is a 1997 American buddy comedy film starring Tim Robbins and Martin Lawrence, written and directed by Steve Oedekerk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nothing to Lose
Target entity description: Nothing to Lose is a 1997 American buddy comedy film starring Tim Robbins and Martin Lawrence, written and directed by Steve Oedekerk.
  • 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. 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."
  • 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. 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.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1b9d39881908c7a3a5b17d432af completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a589d488190b4a192f33d11092d completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7ae2ce048190ba802c4639c128d6 completed May 8, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69fd7b7147448190952a395f72662014 completed May 8, 2026, 5:58 a.m.
Created at: April 10, 2026, 1:22 a.m.