Triple

T21419080
Position Surface form Disambiguated ID Type / Status
Subject Cul-de-sac E528382 entity
Predicate character P662 FINISHED
Object George
George is a character from the animated television series "Ed, Edd n Eddy," appearing as a resident of the cul-de-sac neighborhood.
E1483824 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: George | Statement: [Cul-de-sac, character, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George
Context triple: [Cul-de-sac, character, George]
  • A. George
    George is the given first name of South African rugby union coach Kitch Christie, who led the Springboks to victory in the 1995 Rugby World Cup.
  • B. George
    George is the given first name of Pat Summerall, the famed American sportscaster and former NFL placekicker.
  • C. George
    George is the middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
  • D. George
    George is the given name of George Ellery Hale, the influential American solar astronomer and founder of several major observatories.
  • E. George
    George is the given name of George Herbert, 5th Earl of Carnarvon, the British aristocrat who financed the excavation that uncovered Tutankhamun’s tomb.
  • 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: George
Triple: [Cul-de-sac, character, George]
Generated description
George is a character from the animated television series "Ed, Edd n Eddy," appearing as a resident of the cul-de-sac neighborhood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: George
Target entity description: George is a character from the animated television series "Ed, Edd n Eddy," appearing as a resident of the cul-de-sac neighborhood.
  • A. George
    George is the bumbling yet well-meaning futuristic family man and main character from the animated television series "The Jetsons."
  • B. George
    George is the grandson of the fictional character Mitchell Pritchett from the television series "Modern Family."
  • C. George
    George is a central character in Quentin Blake’s children’s book "Zagazoo," known for transforming through a series of fantastical and unruly forms as he grows up.
  • D. George
    George is a fictional character from Roald Dahl’s children’s stories who rides in Willy Wonka’s fantastical Great Glass Elevator.
  • E. George
    George is a character in the Tintin comic "Cross-Country Snow," appearing as part of the story’s supporting cast.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2ccddc08190b4f66fa6ccda41e2 completed April 22, 2026, 11:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c2a06c0c81909da8bb39a78df85e completed May 17, 2026, 1:29 p.m.
NEDg Description generation batch_6a09c33c37e88190b559bbf98e589487 completed May 17, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a09c3c6a208819096b2e4a2c92b3cb0 completed May 17, 2026, 1:33 p.m.
Created at: April 16, 2026, 5:47 p.m.