Triple

T17890985
Position Surface form Disambiguated ID Type / Status
Subject Texas hold 'em poker (in the 2006 film) E447313 entity
Predicate reasonForUsingPoker P21011 FINISHED
Object to modernize the gambling element for contemporary audiences LITERAL FINISHED

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: to modernize the gambling element for contemporary audiences | Statement: [Texas hold 'em poker (in the 2006 film), reasonForUsingPoker, to modernize the gambling element for contemporary audiences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForUsingPoker
Context triple: [Texas hold 'em poker (in the 2006 film), reasonForUsingPoker, to modernize the gambling element for contemporary audiences]
  • A. reasonForUse chosen
    Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
  • B. reasonForAddiction
    Indicates the causal factor or circumstance that leads an entity to become addicted.
  • C. reasonForPledge
    Indicates the motivation or justification behind making a particular pledge or commitment.
  • D. selectionReason
    Indicates the reason or justification for choosing or selecting one entity over alternatives.
  • E. reasonForAcquisition
    Indicates the underlying purpose, motive, or justification for which one entity acquires another entity or asset.
  • F. None of above.

Provenance (3 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7948888190b59ddc7061d13e84 completed April 19, 2026, 9:16 a.m.
PD Predicate disambiguation batch_69e3d8e9b77c8190bbfb508f28dfacfa completed April 18, 2026, 7:18 p.m.
Created at: April 10, 2026, 10:18 a.m.