Triple

T18364790
Position Surface form Disambiguated ID Type / Status
Subject Jodhi May E440011 entity
Predicate notableWork P4 FINISHED
Object The Gambler 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: The Gambler | Statement: [Jodhi May, notableWork, The Gambler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Gambler
Context triple: [Jodhi May, notableWork, The Gambler]
  • A. The Gambler
    The Gambler is a classic country song and album by Kenny Rogers that tells the story of life lessons learned from a seasoned card player, becoming one of his signature hits.
  • B. The Gambler chosen
    The Gambler is a 1974 American drama film starring James Caan as a literature professor whose secret gambling addiction spirals out of control.
  • C. The Gambler
    The Gambler is a short novel by Fyodor Dostoevsky that explores obsession, addiction, and psychological turmoil through the story of a tutor ensnared by roulette and destructive love.
  • D. The Gamblers
    The Gamblers were a 1960s American surf rock band known for their instrumental track "Moon Dawg!" which became an early surf music classic.
  • E. Gambler
    Gambler is a supervillain in DC Comics, commonly depicted as a cunning member of the Injustice Society who relies on trickery, probability, and games of chance to commit crimes.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174d31608190851a5bab6878c203 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.