Triple

T13891714
Position Surface form Disambiguated ID Type / Status
Subject John Canty E333987 entity
Predicate relative P37 FINISHED
Object Bet
Bet is a character in Mark Twain’s novel "The Prince and the Pauper," a member of John Canty’s impoverished and abusive family.
 E1068975 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: Bet | Statement: [John Canty, relative, Bet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bet
Context triple: [John Canty, relative, Bet]
  • A. Bets
    Bets is a young girl who serves as one of the child detectives in Enid Blyton’s “The Mystery Series,” contributing curiosity and insight to the group’s investigations.
  • B. I Bet
    "I Bet" is an R&B song by American singer Ciara, released in 2015 and known for its emotionally charged lyrics about heartbreak and empowerment.
  • C. Ban
    Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
  • D. Ban
    Ban was a medieval noble title used in several Central and Southeast European states, often designating a high-ranking governor or viceroy.
  • E. Slap Bet
    "Slap Bet" is a popular and fan-favorite episode of the sitcom How I Met Your Mother, best known for introducing the long-running slap bet gag between Marshall and Barney.
  • 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: Bet
Triple: [John Canty, relative, Bet]
Generated description
Bet is a character in Mark Twain’s novel "The Prince and the Pauper," a member of John Canty’s impoverished and abusive family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bet
Target entity description: Bet is a character in Mark Twain’s novel "The Prince and the Pauper," a member of John Canty’s impoverished and abusive family.
  • A. Bets
    Bets is a young girl who serves as one of the child detectives in Enid Blyton’s “The Mystery Series,” contributing curiosity and insight to the group’s investigations.
  • B. I Bet
    "I Bet" is an R&B song by American singer Ciara, released in 2015 and known for its emotionally charged lyrics about heartbreak and empowerment.
  • C. Ban
    Ban was the nickname of Ban Johnson, the influential early 20th-century baseball executive who served as the first president of the American League.
  • D. Ban
    Ban was a medieval noble title used in several Central and Southeast European states, often designating a high-ranking governor or viceroy.
  • E. Slap Bet
    "Slap Bet" is a popular and fan-favorite episode of the sitcom How I Met Your Mother, best known for introducing the long-running slap bet gag between Marshall and Barney.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71a43908190bc7537f0a2379599 completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c8d477f881908f8cfd2783e7f10f completed May 3, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69f7ca27ffd4819080bccd6bfd88ddb3 completed May 3, 2026, 10:20 p.m.
Created at: April 9, 2026, 10:15 p.m.