Triple

T6037025
Position Surface form Disambiguated ID Type / Status
Subject Lou Whitaker E134446 entity
Predicate sluggingPercentage P26690 FINISHED
Object .426 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: .426 | Statement: [Lou Whitaker, sluggingPercentage, .426]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sluggingPercentage
Context triple: [Lou Whitaker, sluggingPercentage, .426]
  • A. SluggingPercentage chosen
    Indicates the rate at which a batter accumulates total bases per at-bat, reflecting their overall power-hitting effectiveness.
  • B. sluggingAbility
    Indicates a subject’s capacity or effectiveness at hitting for power, typically measured by how hard and far they can hit in contexts like baseball or similar sports.
  • C. onBasePlusSlugging
    Indicates a relationship where a player’s offensive performance is quantified by combining their on-base percentage with their slugging percentage into a single metric.
  • D. ledALInSluggingPercentage
    Indicates that the subject led the American League in slugging percentage during a specified season or time period.
  • E. battingAverage
    Indicates the statistical relationship between a batter’s number of hits and official at-bats, expressing how often they successfully get a hit.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cb06508190a90beb4d9d083835 completed March 22, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69c049e9a68c81909da0cfe4779ce9b5 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:08 p.m.