Triple

T5448980
Position Surface form Disambiguated ID Type / Status
Subject United States Olympic Hall of Fame E122319 entity
Predicate notableInducteesInclude P7485 FINISHED
Object Mark Spitz E52546 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: Mark Spitz | Statement: [United States Olympic Hall of Fame, notableInducteesInclude, Mark Spitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Spitz
Context triple: [United States Olympic Hall of Fame, notableInducteesInclude, Mark Spitz]
  • A. Mark Spitz chosen
    Mark Spitz is an American former competitive swimmer who became legendary for winning seven gold medals at the 1972 Munich Olympics, a record at the time.
  • B. Michael Phelps
    Michael Phelps is an American swimmer widely regarded as the most decorated Olympian of all time, known for his record-breaking medal haul and dominance in multiple Olympic Games.
  • C. Rob Dressel
    Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
  • D. Tommy Smith
    Tommy Smith was an early 20th-century Canadian ice hockey forward known for his prolific goal scoring in professional leagues such as the NHA and NHL.
  • E. Tommy Smith
    Tommy Smith is a former professional soccer player best known for his time in the North American Soccer League, including a notable stint with the Los Angeles Aztecs.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91dbfd948190977513cf274af417 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf413ab9d08190a00f007fbf0eb710 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:07 p.m.