Triple

T23284427
Position Surface form Disambiguated ID Type / Status
Subject Daniel Negreanu E588948 entity
Predicate formerSponsor P18226 FINISHED
Object PokerStars NE NERFINISHED

How this triple was built (2 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: PokerStars | Statement: [Daniel Negreanu, formerSponsor, PokerStars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PokerStars
Context triple: [Daniel Negreanu, formerSponsor, PokerStars]
  • A. PokerStars chosen
    PokerStars is a leading global online poker platform known for popularizing internet poker by hosting major tournaments and producing numerous high-profile champions.
  • B. PokerGO
    PokerGO is a subscription-based streaming service dedicated to live and on-demand coverage of major poker events and original poker programming.
  • C. GGPoker
    GGPoker is a major online poker platform known for its high-profile sponsorships, innovative software features, and hosting of large international tournament series.
  • D. Poker Club
    Poker Club was an 18th-century Edinburgh social and political club associated with the Scottish Enlightenment and advocacy for a Scottish militia.
  • E. European Poker Tour
    The European Poker Tour is a major international series of high-stakes poker tournaments held across various European cities and organized by PokerStars.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196454b4c8190a797537ce8912241 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:59 p.m.