Triple

T13687006
Position Surface form Disambiguated ID Type / Status
Subject Exam E328157 entity
Predicate cinematography P1953 FINISHED
Object Tim Wooster
Tim Wooster is a cinematographer known for his work on the film "Exam."
E1054428 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: Tim Wooster | Statement: [Exam, cinematography, Tim Wooster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Wooster
Context triple: [Exam, cinematography, Tim Wooster]
  • A. Bertie Wooster
    Bertie Wooster is a wealthy, amiable, and somewhat dim-witted young English gentleman best known as the hapless master of the supremely competent valet Jeeves in P. G. Wodehouse’s comic stories.
  • B. Terry Jeeves
    Terry Jeeves was a British science fiction fan and fanzine artist known for his influential contributions to fandom and his award-winning fan artwork.
  • C. Jeeves
    Jeeves is the famously unflappable and supremely competent valet who serves as the central comic foil and problem-solver in P. G. Wodehouse’s stories about Bertie Wooster.
  • D. Charles Goring
    Charles Goring was a 18th–19th century English landowner best known for planting the iconic beech trees that crown Chanctonbury Ring on the South Downs.
  • E. Pongo Twistleton
    Pongo Twistleton is a recurring, often hapless young protagonist in P. G. Wodehouse’s comic Uncle Fred stories, frequently entangled in romantic and financial scrapes.
  • 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: Tim Wooster
Triple: [Exam, cinematography, Tim Wooster]
Generated description
Tim Wooster is a cinematographer known for his work on the film "Exam."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tim Wooster
Target entity description: Tim Wooster is a cinematographer known for his work on the film "Exam."
  • A. Bertie Wooster
    Bertie Wooster is a wealthy, amiable, and somewhat dim-witted young English gentleman best known as the hapless master of the supremely competent valet Jeeves in P. G. Wodehouse’s comic stories.
  • B. Terry Jeeves
    Terry Jeeves was a British science fiction fan and fanzine artist known for his influential contributions to fandom and his award-winning fan artwork.
  • C. Jeeves
    Jeeves is the famously unflappable and supremely competent valet who serves as the central comic foil and problem-solver in P. G. Wodehouse’s stories about Bertie Wooster.
  • D. Charles Goring
    Charles Goring was a 18th–19th century English landowner best known for planting the iconic beech trees that crown Chanctonbury Ring on the South Downs.
  • E. Pongo Twistleton
    Pongo Twistleton is a recurring, often hapless young protagonist in P. G. Wodehouse’s comic Uncle Fred stories, frequently entangled in romantic and financial scrapes.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944981ec8190be5ff39b7c2c70ab completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f795e361c48190b37060312e7df181 completed May 3, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69f796e5c60c8190a19389bc4cdbd658 completed May 3, 2026, 6:41 p.m.
Created at: April 9, 2026, 9:53 p.m.