Triple

T9854472
Position Surface form Disambiguated ID Type / Status
Subject Married to the Mob E239549 entity
Predicate screenwriter P2831 FINISHED
Object Mark R. Burns
Mark R. Burns is a screenwriter best known for his work on the 1988 crime comedy film "Married to the Mob."
 E838765 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: Mark R. Burns | Statement: [Married to the Mob, screenwriter, Mark R. Burns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark R. Burns
Context triple: [Married to the Mob, screenwriter, Mark R. Burns]
  • A. Michael W. Burns
    Michael W. Burns is an actor known for his role in the Western television miniseries "Broken Trail."
  • B. Timothy M. Burgess
    Timothy M. Burgess is a United States federal judge who serves on the bench of the District of Alaska.
  • C. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • D. Craig H. Martell
    Craig H. Martell is a computer scientist and author known for his contributions to computing education and principles of computer science.
  • E. Michael D. McDonough
    Michael D. McDonough is an American local government official who serves as the mayor of Raytown, Missouri.
  • 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: Mark R. Burns
Triple: [Married to the Mob, screenwriter, Mark R. Burns]
Generated description
Mark R. Burns is a screenwriter best known for his work on the 1988 crime comedy film "Married to the Mob."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark R. Burns
Target entity description: Mark R. Burns is a screenwriter best known for his work on the 1988 crime comedy film "Married to the Mob."
  • A. Michael W. Burns
    Michael W. Burns is an actor known for his role in the Western television miniseries "Broken Trail."
  • B. Timothy M. Burgess
    Timothy M. Burgess is a United States federal judge who serves on the bench of the District of Alaska.
  • C. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • D. Craig H. Martell
    Craig H. Martell is a computer scientist and author known for his contributions to computing education and principles of computer science.
  • E. Michael D. McDonough
    Michael D. McDonough is an American local government official who serves as the mayor of Raytown, Missouri.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3960fb481909c90d6d6cafc6222 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d299c51ea08190902e03552fbe7ebb completed April 5, 2026, 5:20 p.m.
NEDg Description generation batch_69d29b7430248190b8965eaf1286dd7c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c7ba9f081908f4614098d6c954b completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:34 p.m.