Triple

T13091152
Position Surface form Disambiguated ID Type / Status
Subject Loebner Prize E310465 entity
Predicate notableWinner P2766 FINISHED
Object Jabberwacky
Jabberwacky is an early artificial intelligence chatbot designed to simulate natural human conversation and often cited as a pioneering conversational agent.
E1019446 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: Jabberwacky | Statement: [Loebner Prize, notableWinner, Jabberwacky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jabberwacky
Context triple: [Loebner Prize, notableWinner, Jabberwacky]
  • A. Ginbot
    Ginbot is the ninth month of the Ethiopian calendar, roughly corresponding to May–June in the Gregorian calendar.
  • B. Botley
    Botley is a historic village and civil parish in Hampshire, England, known for its rural character and location near the River Hamble.
  • C. Botley
    Botley is a village and suburb on the western edge of Oxford, England, known for its residential character and proximity to the city.
  • D. Grok
    Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
  • E. Kismet
    Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
  • 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: Jabberwacky
Triple: [Loebner Prize, notableWinner, Jabberwacky]
Generated description
Jabberwacky is an early artificial intelligence chatbot designed to simulate natural human conversation and often cited as a pioneering conversational agent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jabberwacky
Target entity description: Jabberwacky is an early artificial intelligence chatbot designed to simulate natural human conversation and often cited as a pioneering conversational agent.
  • A. Ginbot
    Ginbot is the ninth month of the Ethiopian calendar, roughly corresponding to May–June in the Gregorian calendar.
  • B. Botley
    Botley is a historic village and civil parish in Hampshire, England, known for its rural character and location near the River Hamble.
  • C. Botley
    Botley is a village and suburb on the western edge of Oxford, England, known for its residential character and proximity to the city.
  • D. Grok
    Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
  • E. Kismet
    Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9813acbac8190b2fe5e07287457cf completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61629ac8190a2dfa11951a877f0 completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6d6e326408190b7906c7ea8e3ef85 completed May 3, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6d873b978819097962c82e8ffdac8 completed May 3, 2026, 5:09 a.m.
Created at: April 9, 2026, 9:03 p.m.