Triple

T4103705
Position Surface form Disambiguated ID Type / Status
Subject Thorpe E88398 entity
Predicate hasNotableBearer P458 FINISHED
Object Jim Thorpe E337198 NE 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: Jim Thorpe | Statement: [Thorpe, hasNotableBearer, Jim Thorpe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Thorpe
Context triple: [Thorpe, hasNotableBearer, Jim Thorpe]
  • A. Jim Thorpe chosen
    Jim Thorpe was a legendary American athlete renowned for his extraordinary versatility, excelling in track and field, American football, and baseball in the early 20th century.
  • B. Bronko Nagurski
    Bronko Nagurski was a legendary Hall of Fame fullback and defensive tackle for the Chicago Bears, renowned for his power running and dominance in the early years of the NFL.
  • C. Jim Thorpe, Pennsylvania
    Jim Thorpe, Pennsylvania is a historic small town in the Pocono Mountains known for its Victorian architecture, outdoor recreation, and scenic railway.
  • D. William Gleason
    William Gleason was a member of the prominent Gleason family associated with American industrialist and engineer Kate Gleason.
  • E. Tom Harmon
    Tom Harmon was a celebrated American football player and Heisman Trophy–winning halfback who later became a sports broadcaster and actor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd116dac8190952cb2ddf63216ec completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576a3e75c8190ab08954220b4b89a completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:40 p.m.