Triple

T2216512
Position Surface form Disambiguated ID Type / Status
Subject Kingsman E48044 entity
Predicate hasMember P10 FINISHED
Object Arthur
Arthur is the codename of the senior leader of the Kingsman organization in the "Kingsman" spy film franchise.
E77285 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: Arthur | Statement: [Kingsman, hasMember, Arthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur
Context triple: [Kingsman, hasMember, Arthur]
  • A. Arthur
    Arthur is the given name of the renowned American playwright Arthur Miller, known for works such as "Death of a Salesman" and "The Crucible."
  • B. Arthur
    Arthur is a long-running animated children's television series that follows the everyday adventures and life lessons of Arthur Read, an anthropomorphic aardvark, and his friends and family.
  • C. Arthur
    Arthur is a common English-language surname borne by figures such as Chester A. Arthur, the 21st president of the United States.
  • D. Arthur
    "Arthur" is a 1981 romantic comedy film starring Dudley Moore and Liza Minnelli, centered on a spoiled millionaire who must choose between an arranged marriage and true love.
  • E. Arthur
    Arthur is the given first name of the English novelist Evelyn Waugh, best known for works such as "Brideshead Revisited" and "A Handful of Dust."
  • 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: Arthur
Triple: [Kingsman, hasMember, Arthur]
Generated description
Arthur is the codename of the senior leader of the Kingsman organization in the "Kingsman" spy film franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arthur
Target entity description: Arthur is the codename of the senior leader of the Kingsman organization in the "Kingsman" spy film franchise.
  • A. Arthur chosen
    Arthur is the codename of the refined, high-ranking leader of the Kingsman organization in the action-spy film "Kingsman: The Secret Service."
  • B. Arthur
    Arthur is a masculine given name of Celtic origin, historically associated with legendary and royal figures, most famously King Arthur of Britain.
  • C. Arthur
    Arthur is the given first name of the influential British computer scientist Robin Milner, known for his work in programming language theory and process calculi.
  • D. Arthur
    Arthur is the given first name of the English novelist Evelyn Waugh, best known for works such as "Brideshead Revisited" and "A Handful of Dust."
  • E. Arthur
    Arthur is a common English-language surname borne by figures such as Chester A. Arthur, the 21st president of the United States.
  • F. None of above.

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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc00f4c3881909d03301fcdfa8b67 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b5d9b7c8190a3c87ffacc486512 completed March 9, 2026, 8:19 p.m.
NEDg Description generation batch_69af514d5e648190b4fbb1c1247d490d completed March 9, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69af5509ce1881909169a529b4f835eb completed March 9, 2026, 11:17 p.m.
Created at: March 4, 2026, 7:46 p.m.