Triple

T35833046
Position Surface form Disambiguated ID Type / Status
Subject Mel Blount rule E1035850 entity
Predicate effectOnLeague P27323 FINISHED
Object contributed to more pass-oriented NFL offenses 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 more pass-oriented NFL offenses | Statement: [Mel Blount rule, effectOnLeague, contributed to more pass-oriented NFL offenses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: effectOnLeague
Context triple: [Mel Blount rule, effectOnLeague, contributed to more pass-oriented NFL offenses]
  • A. leagueAffected chosen
    Indicates that a particular league is impacted or influenced by a specified event, action, or condition.
  • B. impactOnStandings
    Indicates how an event or outcome affects the relative rankings or standings within a competition or system.
  • C. successorLeagueInfluence
    Indicates that one league has influenced or shaped the formation, structure, or characteristics of its successor league.
  • D. affectedCompetitionName
    Indicates the specific competition whose conditions, outcomes, or status are impacted by the related event or action.
  • E. majorLeaguePhaseEffect
    Indicates that an entity is affected by, or participates in, a specific phase or period within a major league competition or season.
  • 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_69f76e192a94819082db360cb91e6a8d completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd864235b481908738dbb69556bc62 completed May 8, 2026, 6:44 a.m.
PD Predicate disambiguation batch_69fd8373b6bc819091c554f29ee17fec completed May 8, 2026, 6:32 a.m.
Created at: May 3, 2026, 4:06 p.m.