Triple

T10037051
Position Surface form Disambiguated ID Type / Status
Subject Templeman E205196 entity
Predicate hasNotableBearer P458 FINISHED
Object Simon Templeman
Simon Templeman is a British actor best known for his voice work in video games and animation, including the Legacy of Kain series and the TV show The Neighbors.
E837342 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: Simon Templeman | Statement: [Templeman, hasNotableBearer, Simon Templeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Templeman
Context triple: [Templeman, hasNotableBearer, Simon Templeman]
  • A. Ian Burnett
    Ian Burnett, Baron Burnett of Maldon, is a British judge who served as Lord Chief Justice of England and Wales.
  • B. Jonathan Mills
    Jonathan Mills is a member of the British acting family headed by Sir John Mills and the brother of actress Hayley Mills.
  • C. Roy Marples
    Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
  • D. John Madin
    John Madin was a British modernist architect best known for his influential post-war designs in Birmingham, England.
  • E. Anthony Rogers
    Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
  • 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: Simon Templeman
Triple: [Templeman, hasNotableBearer, Simon Templeman]
Generated description
Simon Templeman is a British actor best known for his voice work in video games and animation, including the Legacy of Kain series and the TV show The Neighbors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Simon Templeman
Target entity description: Simon Templeman is a British actor best known for his voice work in video games and animation, including the Legacy of Kain series and the TV show The Neighbors.
  • A. Ian Burnett
    Ian Burnett, Baron Burnett of Maldon, is a British judge who served as Lord Chief Justice of England and Wales.
  • B. Jonathan Mills
    Jonathan Mills is a member of the British acting family headed by Sir John Mills and the brother of actress Hayley Mills.
  • C. Roy Marples
    Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
  • D. John Madin
    John Madin was a British modernist architect best known for his influential post-war designs in Birmingham, England.
  • E. Anthony Rogers
    Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcede428c8190ae115dc3425f9b0e completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282608d688190832c37442f53099a completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d2840bb2e881908a7e7a40229769e0 completed April 5, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_69d2847c9bb881908a6330dfe2c2c1a4 completed April 5, 2026, 3:49 p.m.
Created at: March 30, 2026, 8:55 p.m.