Triple

T12846610
Position Surface form Disambiguated ID Type / Status
Subject Stephen McFeely E307191 entity
Predicate notableWork P4 FINISHED
Object You Kill Me
You Kill Me is a 2007 dark comedy crime film about an alcoholic hitman trying to reform his life, co-written by screenwriter Stephen McFeely.
 E739681 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: You Kill Me | Statement: [Stephen McFeely, notableWork, You Kill Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: You Kill Me
Context triple: [Stephen McFeely, notableWork, You Kill Me]
  • A. You Kill Me
    You Kill Me is a 2007 dark comedy crime film about an alcoholic hitman trying to reform his life, directed by John Dahl and starring Ben Kingsley and Téa Leoni.
  • B. 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.
  • C. Death of Me
    "Death of Me" is a song by the American punk rock band Ramones from their 1987 album "Halfway to Sanity."
  • D. 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.
  • E. Die with Me
    Die with Me is a 2001 thriller film in which former child star Jake Lloyd plays a central role in a dark, suspenseful narrative.
  • 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: You Kill Me
Triple: [Stephen McFeely, notableWork, You Kill Me]
Generated description
You Kill Me is a 2007 dark comedy crime film about an alcoholic hitman trying to reform his life, co-written by screenwriter Stephen McFeely.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: You Kill Me
Target entity description: You Kill Me is a 2007 dark comedy crime film about an alcoholic hitman trying to reform his life, co-written by screenwriter Stephen McFeely.
  • A. You Kill Me chosen
    You Kill Me is a 2007 dark comedy crime film about an alcoholic hitman trying to reform his life, directed by John Dahl and starring Ben Kingsley and Téa Leoni.
  • B. 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.
  • C. Death of Me
    "Death of Me" is a song by the American punk rock band Ramones from their 1987 album "Halfway to Sanity."
  • D. 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.
  • E. Die with Me
    Die with Me is a 2001 thriller film in which former child star Jake Lloyd plays a central role in a dark, suspenseful narrative.
  • F. None of above.

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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff49efc8190bd6bbac510cc4705 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba1ef2481909bcf68a698afd3c6 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69dad1f9c8190b48c40f49dbd396d completed May 3, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_69f69e5fd19c819082f9fe0d26c56c9a completed May 3, 2026, 1:01 a.m.
Created at: April 9, 2026, 5:36 p.m.