Triple

T9759657
Position Surface form Disambiguated ID Type / Status
Subject Guns of Darkness E236636 entity
Predicate editedBy P1954 FINISHED
Object Tom Simpson
Tom Simpson is a film editor known for his work on the 1962 political thriller "Guns of Darkness."
 E820569 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: Tom Simpson | Statement: [Guns of Darkness, editedBy, Tom Simpson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Simpson
Context triple: [Guns of Darkness, editedBy, Tom Simpson]
  • A. Tom Simpson
    Tom Simpson is a British musician best known as the former keyboardist of the alternative rock band Snow Patrol.
  • B. Felice Gimondi
    Felice Gimondi was an Italian professional cyclist and one of the few riders in history to win all three Grand Tours—Tour de France, Giro d'Italia, and Vuelta a España.
  • C. Greg LeMond
    Greg LeMond is an American former professional cyclist renowned for winning the Tour de France three times and for pioneering the use of advanced technology and aerodynamics in the sport.
  • D. Bob Armstrong
    Bob Armstrong was a prominent Texas politician and public servant known for his roles as state land commissioner and conservation advocate.
  • E. Charly Gaul
    Charly Gaul was a legendary Luxembourgish climber and Grand Tour champion, renowned for his exceptional performances in the mountains and adverse weather during the 1950s.
  • 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: Tom Simpson
Triple: [Guns of Darkness, editedBy, Tom Simpson]
Generated description
Tom Simpson is a film editor known for his work on the 1962 political thriller "Guns of Darkness."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Simpson
Target entity description: Tom Simpson is a film editor known for his work on the 1962 political thriller "Guns of Darkness."
  • A. Tom Simpson
    Tom Simpson is a British musician best known as the former keyboardist of the alternative rock band Snow Patrol.
  • B. Felice Gimondi
    Felice Gimondi was an Italian professional cyclist and one of the few riders in history to win all three Grand Tours—Tour de France, Giro d'Italia, and Vuelta a España.
  • C. Greg LeMond
    Greg LeMond is an American former professional cyclist renowned for winning the Tour de France three times and for pioneering the use of advanced technology and aerodynamics in the sport.
  • D. Bob Armstrong
    Bob Armstrong was a prominent Texas politician and public servant known for his roles as state land commissioner and conservation advocate.
  • E. Charly Gaul
    Charly Gaul was a legendary Luxembourgish climber and Grand Tour champion, renowned for his exceptional performances in the mountains and adverse weather during the 1950s.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda049995c81908569ec61805642b2 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcdbdbcc8190b2c454729a50f7fb completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1be0b960c8190a3c24c8c80cfbe9d completed April 5, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69d1bec20dec8190be32069ddf94b915 completed April 5, 2026, 1:45 a.m.
Created at: March 30, 2026, 8:24 p.m.