Triple

T7280060
Position Surface form Disambiguated ID Type / Status
Subject Falkner E163123 entity
Predicate mainCharacter P1183 FINISHED
Object Rupert Falkner
Rupert Falkner is a fictional protagonist named Falkner who serves as the central figure in the narrative that bears his surname.
E654025 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: Rupert Falkner | Statement: [Falkner, mainCharacter, Rupert Falkner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert Falkner
Context triple: [Falkner, mainCharacter, Rupert Falkner]
  • A. Jason Flemyng
    Jason Flemyng is an English actor known for his character roles in films such as "Lock, Stock and Two Smoking Barrels," "Snatch," and various Hollywood and British productions.
  • B. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • C. Mark Forstater
    Mark Forstater is a film producer best known for producing the classic British comedy film "Monty Python and the Holy Grail."
  • D. Christopher Blake
    Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
  • E. Rupert Griffin
    Rupert Griffin is known primarily as the brother of American actress and 1950s film star Debra Paget.
  • 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: Rupert Falkner
Triple: [Falkner, mainCharacter, Rupert Falkner]
Generated description
Rupert Falkner is a fictional protagonist named Falkner who serves as the central figure in the narrative that bears his surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rupert Falkner
Target entity description: Rupert Falkner is a fictional protagonist named Falkner who serves as the central figure in the narrative that bears his surname.
  • A. Jason Flemyng
    Jason Flemyng is an English actor known for his character roles in films such as "Lock, Stock and Two Smoking Barrels," "Snatch," and various Hollywood and British productions.
  • B. Will Firth
    Will Firth is the son of English actor Colin Firth and is known primarily for his connection to his father's prominent film career.
  • C. Mark Forstater
    Mark Forstater is a film producer best known for producing the classic British comedy film "Monty Python and the Holy Grail."
  • D. Christopher Blake
    Christopher Blake is a stage play written by American playwright Moss Hart, best known for its dramatic exploration of family and marital conflict.
  • E. Rupert Griffin
    Rupert Griffin is known primarily as the brother of American actress and 1950s film star Debra Paget.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb339b1081909f648864e210f98e completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db379e1c81908ebd4c44504ce5fb completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7df4788e081908ccc162125c6550d completed March 28, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfa826d081909129df80cca13daa completed March 28, 2026, 2:03 p.m.
Created at: March 27, 2026, 2:59 p.m.