Triple

T7616128
Position Surface form Disambiguated ID Type / Status
Subject Pop Warner E172364 entity
Predicate notableStudent P4838 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: [Pop Warner, notableStudent, Jim Thorpe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Thorpe
Context triple: [Pop Warner, notableStudent, 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa4569c88190b2968403a24e7882 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868714d7c8190aae66a3dd4e6214b completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.