Triple

T16459719
Position Surface form Disambiguated ID Type / Status
Subject University High School, Irvine E399774 entity
Predicate hasAlumni P51 FINISHED
Object Greg Louganis
Greg Louganis is an American diver widely regarded as one of the greatest in the sport’s history, winning multiple Olympic gold medals in the 1980s.
E1214802 NE FINISHED

How this triple was built (4 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: Greg Louganis | Statement: [University High School, Irvine, hasAlumni, Greg Louganis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Louganis
Context triple: [University High School, Irvine, hasAlumni, Greg Louganis]
  • A. Paul Hamm
    Paul Hamm is an American artistic gymnast best known for winning the all-around gold medal at the 2004 Olympic Games.
  • B. Mark Spitz
    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.
  • C. 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.
  • D. Rob Dressel
    Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
  • E. Michael Klim
    Michael Klim is a retired Australian swimmer renowned for his multiple Olympic gold medals and world records in freestyle and butterfly events.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Greg Louganis
Triple: [University High School, Irvine, hasAlumni, Greg Louganis]
Generated description
Greg Louganis is an American diver widely regarded as one of the greatest in the sport’s history, winning multiple Olympic gold medals in the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Greg Louganis
Target entity description: Greg Louganis is an American diver widely regarded as one of the greatest in the sport’s history, winning multiple Olympic gold medals in the 1980s.
  • A. Paul Hamm
    Paul Hamm is an American artistic gymnast best known for winning the all-around gold medal at the 2004 Olympic Games.
  • B. Mark Spitz
    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.
  • C. 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.
  • D. Rob Dressel
    Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
  • E. Michael Klim
    Michael Klim is a retired Australian swimmer renowned for his multiple Olympic gold medals and world records in freestyle and butterfly events.
  • F. None of above. chosen

Provenance (5 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7ff0e881909100bb5b33c04291 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f53aff081909a75de6672f15f0e completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050a0f5b081908417c6062b1f50cc completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a00517b7b1c819098118fdbe03eb010 completed May 10, 2026, 9:35 a.m.
Created at: April 10, 2026, 5:10 a.m.