Triple

T14252311
Position Surface form Disambiguated ID Type / Status
Subject Matthew Benham E353299 entity
Predicate business P12567 FINISHED
Object Matchbook betting exchange
Matchbook betting exchange is an online sports betting platform that operates as a peer-to-peer exchange, allowing users to back and lay bets at market-driven odds.
E1089582 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: Matchbook betting exchange | Statement: [Matthew Benham, business, Matchbook betting exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matchbook betting exchange
Context triple: [Matthew Benham, business, Matchbook betting exchange]
  • A. Betfair
    Betfair is a major online gambling company and betting exchange based in the United Kingdom.
  • B. Betfred
    Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
  • C. Bet365
    Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
  • D. Betclic
    Betclic is a European online sports betting and gambling company known for sponsoring major professional sports leagues and events.
  • E. BetRivers
    BetRivers is an online sports betting and casino brand operated by Rush Street Interactive and linked to the Rivers Casino properties in the United States.
  • 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: Matchbook betting exchange
Triple: [Matthew Benham, business, Matchbook betting exchange]
Generated description
Matchbook betting exchange is an online sports betting platform that operates as a peer-to-peer exchange, allowing users to back and lay bets at market-driven odds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matchbook betting exchange
Target entity description: Matchbook betting exchange is an online sports betting platform that operates as a peer-to-peer exchange, allowing users to back and lay bets at market-driven odds.
  • A. Betfair
    Betfair is a major online gambling company and betting exchange based in the United Kingdom.
  • B. Betfred
    Betfred is a major UK-based bookmaker and online gambling company known for its extensive sports betting and gaming operations.
  • C. Bet365
    Bet365 is a major British online gambling company best known for its sports betting platform and global sponsorships in horse racing and football.
  • D. Betclic
    Betclic is a European online sports betting and gambling company known for sponsoring major professional sports leagues and events.
  • E. BetRivers
    BetRivers is an online sports betting and casino brand operated by Rush Street Interactive and linked to the Rivers Casino properties in the United States.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6296f9d0819086f62f525d07eb12 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325a14b881909522b6fbbcc6326f completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd33cba18481908f2dfe358017f11b completed May 8, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd346ffb9c81909ec28e514ea5451b completed May 8, 2026, 12:55 a.m.
Created at: April 10, 2026, 1:08 a.m.