Triple

T7416159
Position Surface form Disambiguated ID Type / Status
Subject Bad Boys era E171134 entity
Predicate ruleImpact P44198 FINISHED
Object contributed to later NBA emphasis on protecting offensive players 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: contributed to later NBA emphasis on protecting offensive players | Statement: [Bad Boys era, ruleImpact, contributed to later NBA emphasis on protecting offensive players]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ruleImpact
Context triple: [Bad Boys era, ruleImpact, contributed to later NBA emphasis on protecting offensive players]
  • A. policyImplication
    Indicates that one policy, decision, or condition leads to, justifies, or necessitates another policy outcome or course of action.
  • B. regulationImpact chosen
    Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
  • C. encodingImpact
    Indicates how one encoding or encoding choice affects, modifies, or constrains another process, representation, or outcome.
  • D. recognizesImpactOn
    Indicates that one entity acknowledges or understands the effect or consequences it has on another entity or situation.
  • E. areAffectedBy
    Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c7ae0c8190a8348d6223aeeecc completed March 27, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69c6f0345040819094c5756dfa487faf completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:11 p.m.