Triple

T15675372
Position Surface form Disambiguated ID Type / Status
Subject Tom Ropelewski E377428 entity
Predicate notableWork P4 FINISHED
Object The Kiss (screenwriter)
The Kiss is a film for which Tom Ropelewski is credited as the screenwriter.
E1171346 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: The Kiss (screenwriter) | Statement: [Tom Ropelewski, notableWork, The Kiss (screenwriter)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Kiss (screenwriter)
Context triple: [Tom Ropelewski, notableWork, The Kiss (screenwriter)]
  • A. Kirshner
    Kirshner is the surname of Canadian actress and writer Mia Kirshner, known for her roles in films and television series such as "The L Word" and "24."
  • B. Kupferhammer
    Kupferhammer is a locality within the town of Eberswalde in the state of Brandenburg, Germany.
  • C. Korman
    Korman is a surname most famously associated with American comedic actor Harvey Korman, known for his work on The Carol Burnett Show and in Mel Brooks films.
  • D. David Kepesh
    David Kepesh is a recurring Philip Roth protagonist, a self-absorbed, aging intellectual and womanizer whose erotic obsessions and fear of mortality drive much of the psychological drama in Roth’s fiction.
  • E. Marlowe Caruso
    Marlowe Caruso is the daughter of American actor David Caruso, known for his role on the television series "CSI: Miami."
  • 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: The Kiss (screenwriter)
Triple: [Tom Ropelewski, notableWork, The Kiss (screenwriter)]
Generated description
The Kiss is a film for which Tom Ropelewski is credited as the screenwriter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Kiss (screenwriter)
Target entity description: The Kiss is a film for which Tom Ropelewski is credited as the screenwriter.
  • A. Kirshner
    Kirshner is the surname of Canadian actress and writer Mia Kirshner, known for her roles in films and television series such as "The L Word" and "24."
  • B. Kupferhammer
    Kupferhammer is a locality within the town of Eberswalde in the state of Brandenburg, Germany.
  • C. Korman
    Korman is a surname most famously associated with American comedic actor Harvey Korman, known for his work on The Carol Burnett Show and in Mel Brooks films.
  • D. David Kepesh
    David Kepesh is a recurring Philip Roth protagonist, a self-absorbed, aging intellectual and womanizer whose erotic obsessions and fear of mortality drive much of the psychological drama in Roth’s fiction.
  • E. Marlowe Caruso
    Marlowe Caruso is the daughter of American actor David Caruso, known for his role on the television series "CSI: Miami."
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6edd85148190b6d5c3981204dd77 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:16 a.m.