Triple

T16206518
Position Surface form Disambiguated ID Type / Status
Subject Casey Short E393341 entity
Predicate name P16 FINISHED
Object Casey Short E393341 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: Casey Short | Statement: [Casey Short, name, Casey Short]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casey Short
Context triple: [Casey Short, name, Casey Short]
  • A. Casey Short chosen
    Casey Short is an American professional soccer defender known for her time with the Chicago Red Stars and appearances with the United States women’s national team.
  • B. Casey Matthews
    Casey Matthews is a former American football linebacker who played college football at the University of Oregon and in the NFL, notably for the Philadelphia Eagles.
  • C. Casey Jacobsen
    Casey Jacobsen is a former American professional basketball player and sharpshooting guard best known for his standout collegiate career at Stanford and subsequent years in the NBA and top European leagues.
  • D. Casey Cooke
    Casey Cooke is the resilient, traumatized teenage girl who serves as the central survivor and emotional core of M. Night Shyamalan’s thriller films "Split" and "Glass."
  • E. Casey Rogers
    Casey Rogers is a former Syracuse University men's lacrosse player recognized as a notable alumnus of the Orange program.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227101a3c819095ef40e50bf66433 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078fa2ac8190a0a2cf38bc41498d completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.