Triple

T22852644
Position Surface form Disambiguated ID Type / Status
Subject Brian Orser E566392 entity
Predicate familyName P18 FINISHED
Object Orser
Orser is a surname most notably associated with Canadian figure skater and Olympic medalist Brian Orser.
E1556414 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: Orser | Statement: [Brian Orser, familyName, Orser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orser
Context triple: [Brian Orser, familyName, Orser]
  • A. Nepela
    Nepela is a Slovak surname most notably associated with Ondrej Nepela, an Olympic and world champion figure skater.
  • B. Lutze
    Lutze is a German surname most notably associated with Viktor Lutze, a high-ranking Nazi official and head of the Sturmabteilung (SA) in the 1930s.
  • C. Heinsohn
    Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
  • D. Reitan
    Reitan is a military area in Norway that hosts the Norwegian Joint Headquarters, serving as a central command site for the country’s armed forces.
  • E. Kirstein
    Kirstein is a surname most notably associated with Lincoln Kirstein, the influential American writer, arts patron, and co-founder of the New York City Ballet.
  • 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: Orser
Triple: [Brian Orser, familyName, Orser]
Generated description
Orser is a surname most notably associated with Canadian figure skater and Olympic medalist Brian Orser.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orser
Target entity description: Orser is a surname most notably associated with Canadian figure skater and Olympic medalist Brian Orser.
  • A. Nepela
    Nepela is a Slovak surname most notably associated with Ondrej Nepela, an Olympic and world champion figure skater.
  • B. Lutze
    Lutze is a German surname most notably associated with Viktor Lutze, a high-ranking Nazi official and head of the Sturmabteilung (SA) in the 1930s.
  • C. Heinsohn
    Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
  • D. Reitan
    Reitan is a military area in Norway that hosts the Norwegian Joint Headquarters, serving as a central command site for the country’s armed forces.
  • E. Kirstein
    Kirstein is a surname most notably associated with Lincoln Kirstein, the influential American writer, arts patron, and co-founder of the New York City Ballet.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eb9a5b8819091cbb4ac42fbf778 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7bfaae4819088756bce9fa49381 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8e510888190b154b53fc21fde3d completed May 19, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba92083ac819088111724d59aff11 completed May 19, 2026, 12:04 a.m.
Created at: April 17, 2026, 3:36 p.m.