Triple

T10072165
Position Surface form Disambiguated ID Type / Status
Subject Max Beesley E213654 entity
Predicate notableWork P4 FINISHED
Object Kill Me Later
Kill Me Later is a 2001 darkly comic British-Canadian crime thriller film about a suicidal bank employee caught up in a botched robbery and taken hostage.
E839404 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: Kill Me Later | Statement: [Max Beesley, notableWork, Kill Me Later]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kill Me Later
Context triple: [Max Beesley, notableWork, Kill Me Later]
  • A. Kill Me Again
    Kill Me Again is a 1989 neo-noir crime thriller film directed by John Dahl, known for its stylish blend of suspense, dark humor, and classic noir themes.
  • B. Death of Me
    "Death of Me" is a song by the American punk rock band Ramones from their 1987 album "Halfway to Sanity."
  • C. Killer Is Me
    "Killer Is Me" is a song by American rock band Alice in Chains, known for its appearance on their 1996 MTV Unplugged performance.
  • D. You Go Kill Me
    "You Go Kill Me" is a popular Azonto-era hip hop/afrobeats track by Ghanaian rapper Sarkodie that helped boost his mainstream success across Africa.
  • E. Run Me Through
    "Run Me Through" is a track by the experimental rock band No Shape, known for its atmospheric sound and introspective style.
  • 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: Kill Me Later
Triple: [Max Beesley, notableWork, Kill Me Later]
Generated description
Kill Me Later is a 2001 darkly comic British-Canadian crime thriller film about a suicidal bank employee caught up in a botched robbery and taken hostage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kill Me Later
Target entity description: Kill Me Later is a 2001 darkly comic British-Canadian crime thriller film about a suicidal bank employee caught up in a botched robbery and taken hostage.
  • A. Kill Me Again
    Kill Me Again is a 1989 neo-noir crime thriller film directed by John Dahl, known for its stylish blend of suspense, dark humor, and classic noir themes.
  • B. Death of Me
    "Death of Me" is a song by the American punk rock band Ramones from their 1987 album "Halfway to Sanity."
  • C. Killer Is Me
    "Killer Is Me" is a song by American rock band Alice in Chains, known for its appearance on their 1996 MTV Unplugged performance.
  • D. You Go Kill Me
    "You Go Kill Me" is a popular Azonto-era hip hop/afrobeats track by Ghanaian rapper Sarkodie that helped boost his mainstream success across Africa.
  • E. Run Me Through
    "Run Me Through" is a track by the experimental rock band No Shape, known for its atmospheric sound and introspective style.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd013c9d0819091ebe6fc399832de completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aaa61308190b134b49a6c1c1131 completed April 5, 2026, 5:23 p.m.
NEDg Description generation batch_69d29e8617c08190bf4fb02ac40caba3 completed April 5, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d29f20b2f48190906d7e53fb1e5544 completed April 5, 2026, 5:42 p.m.
Created at: March 30, 2026, 8:59 p.m.