Triple

T10495260
Position Surface form Disambiguated ID Type / Status
Subject A Private Function E247521 entity
Predicate producer P490 FINISHED
Object Mark Shivas
Mark Shivas was a British television and film producer known for his influential work at the BBC and involvement in notable British dramas and comedies.
 E873587 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 Shivas | Statement: [A Private Function, producer, Mark Shivas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mark Shivas
Context triple: [A Private Function, producer, Mark Shivas]
  • A. Matthew Shafer
    Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
  • B. Matthew Shafer
    Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
  • C. Matt Sherring
    Matt Sherring is a screenwriter best known for writing the action thriller film "Killer Elite."
  • D. Shawn Eichman
    Shawn Eichman is an American political activist best known as a defendant in the landmark U.S. Supreme Court case that struck down federal prohibitions on flag desecration as unconstitutional.
  • E. John Shinn
    John Shinn was the founder of the Academy of Natural Sciences of Drexel University, one of the oldest natural history institutions in the United States.
  • 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 Shivas
Triple: [A Private Function, producer, Mark Shivas]
Generated description
Mark Shivas was a British television and film producer known for his influential work at the BBC and involvement in notable British dramas and comedies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mark Shivas
Target entity description: Mark Shivas was a British television and film producer known for his influential work at the BBC and involvement in notable British dramas and comedies.
  • A. Matthew Shafer
    Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
  • B. Matthew Shafer
    Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
  • C. Matt Sherring
    Matt Sherring is a screenwriter best known for writing the action thriller film "Killer Elite."
  • D. Shawn Eichman
    Shawn Eichman is an American political activist best known as a defendant in the landmark U.S. Supreme Court case that struck down federal prohibitions on flag desecration as unconstitutional.
  • E. John Shinn
    John Shinn was the founder of the Academy of Natural Sciences of Drexel University, one of the oldest natural history institutions in the United States.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098be488819083d614f528cd82fb completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e5d1a2c81908a9bb8f1c55414fa completed April 10, 2026, 8:32 p.m.
NEDg Description generation batch_69d95f80d0c48190b88e3a4b3e42279c completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d9602748608190b0c971accf44b7aa completed April 10, 2026, 8:40 p.m.
Created at: April 6, 2026, 12:24 p.m.