Triple

T8431720
Position Surface form Disambiguated ID Type / Status
Subject MI-5 E199128 entity
Predicate hasCastMember P2308 FINISHED
Object Hugh Simon
Hugh Simon is a British actor best known for his role as tech expert Malcolm Wynn-Jones in the television spy drama "MI-5" (also known as "Spooks").
 E732757 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: Hugh Simon | Statement: [MI-5, hasCastMember, Hugh Simon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hugh Simon
Context triple: [MI-5, hasCastMember, Hugh Simon]
  • A. John Simon
    John Simon is an American record producer, composer, and arranger best known for his work with artists such as The Band, Janis Joplin, and Leonard Cohen.
  • B. John Simon
    John Simon was a prominent British Liberal and later National Liberal politician who held several senior government offices, including Home Secretary, Foreign Secretary, and Chancellor of the Exchequer, during the early 20th century.
  • C. Bill Schneider
    Bill Schneider is a musician best known as a member of the punk rock band Pinhead Gunpowder.
  • D. Stephen Haise
    Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
  • E. Andrew Lippman
    Andrew Lippman is an American media technology researcher and longtime MIT Media Lab professor known for his pioneering work in digital communication and interactive media.
  • 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: Hugh Simon
Triple: [MI-5, hasCastMember, Hugh Simon]
Generated description
Hugh Simon is a British actor best known for his role as tech expert Malcolm Wynn-Jones in the television spy drama "MI-5" (also known as "Spooks").
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hugh Simon
Target entity description: Hugh Simon is a British actor best known for his role as tech expert Malcolm Wynn-Jones in the television spy drama "MI-5" (also known as "Spooks").
  • A. John Simon
    John Simon is an American record producer, composer, and arranger best known for his work with artists such as The Band, Janis Joplin, and Leonard Cohen.
  • B. John Simon
    John Simon was a prominent British Liberal and later National Liberal politician who held several senior government offices, including Home Secretary, Foreign Secretary, and Chancellor of the Exchequer, during the early 20th century.
  • C. Bill Schneider
    Bill Schneider is a musician best known as a member of the punk rock band Pinhead Gunpowder.
  • D. Stephen Haise
    Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
  • E. Andrew Lippman
    Andrew Lippman is an American media technology researcher and longtime MIT Media Lab professor known for his pioneering work in digital communication and interactive media.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce038902308190bff57c9ce14e72ed completed April 2, 2026, 5:50 a.m.
NEDg Description generation batch_69ce07851c4081909a9468a386035bb2 completed April 2, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69ce07ec00248190bb10fee54265c7f9 completed April 2, 2026, 6:08 a.m.
Created at: March 30, 2026, 6:07 p.m.