Triple

T5043347
Position Surface form Disambiguated ID Type / Status
Subject Shotgun E113598 entity
Predicate starring P1507 FINISHED
Object Guy Prescott
Guy Prescott is an actor known for his role in the film "Shotgun."
 E489082 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: Guy Prescott | Statement: [Shotgun, starring, Guy Prescott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guy Prescott
Context triple: [Shotgun, starring, Guy Prescott]
  • A. David Gill
    David Gill was a British television producer and film historian best known for his acclaimed documentaries on cinema history, including collaborations with Kevin Brownlow.
  • B. Ian Fletcher
    Ian Fletcher is a fictional British civil servant and central character in the BBC mockumentary series "Twenty Twelve" and its spin-off "W1A."
  • C. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • D. John Sharp
    John Sharp was an English clergyman and theologian known for his influential sermons and religious writings in the late 17th and early 18th centuries.
  • E. Glenn Williamson
    Glenn Williamson is a film producer known for his work on independent and character-driven movies, including the dark comedy-drama "Sunshine Cleaning."
  • 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: Guy Prescott
Triple: [Shotgun, starring, Guy Prescott]
Generated description
Guy Prescott is an actor known for his role in the film "Shotgun."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guy Prescott
Target entity description: Guy Prescott is an actor known for his role in the film "Shotgun."
  • A. David Gill
    David Gill was a British television producer and film historian best known for his acclaimed documentaries on cinema history, including collaborations with Kevin Brownlow.
  • B. Ian Fletcher
    Ian Fletcher is a fictional British civil servant and central character in the BBC mockumentary series "Twenty Twelve" and its spin-off "W1A."
  • C. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • D. John Sharp
    John Sharp was an English clergyman and theologian known for his influential sermons and religious writings in the late 17th and early 18th centuries.
  • E. Glenn Williamson
    Glenn Williamson is a film producer known for his work on independent and character-driven movies, including the dark comedy-drama "Sunshine Cleaning."
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fc04f08190aba851fa0192d0fb completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c87455081908b759eed55730503 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9fc4f8bc8190a21c828ea5cb9529 completed March 21, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69bea026f1008190861990c7a330222e completed March 21, 2026, 1:41 p.m.
Created at: March 20, 2026, 1:37 p.m.