Triple

T16949335
Position Surface form Disambiguated ID Type / Status
Subject Holleder Center E411143 entity
Predicate namedAfter P63 FINISHED
Object Don Holleder
Don Holleder was a celebrated West Point All-American football player and U.S. Army officer who was killed in action during the Vietnam War and later honored for his heroism.
E1361867 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: Don Holleder | Statement: [Holleder Center, namedAfter, Don Holleder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Holleder
Context triple: [Holleder Center, namedAfter, Don Holleder]
  • A. Nigel Glockler
    Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
  • B. Dennis Schuetz
    Dennis Schuetz was an American writer who, together with Michael McDowell, published mystery novels under the joint pseudonym Nathan Aldyne.
  • C. Dennis Weilmann
    Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
  • D. Dan Hollander
    Dan Hollander is an American figure skater known for his entertaining, comedic programs and multiple top-ten finishes at the U.S. National Championships in the 1990s.
  • E. Ron Schmidt
    Ron Schmidt is a television producer best known for his executive production work on major series such as the Game of Thrones prequel "House of the Dragon."
  • 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: Don Holleder
Triple: [Holleder Center, namedAfter, Don Holleder]
Generated description
Don Holleder was a celebrated West Point All-American football player and U.S. Army officer who was killed in action during the Vietnam War and later honored for his heroism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Don Holleder
Target entity description: Don Holleder was a celebrated West Point All-American football player and U.S. Army officer who was killed in action during the Vietnam War and later honored for his heroism.
  • A. Nigel Glockler
    Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
  • B. Dennis Schuetz
    Dennis Schuetz was an American writer who, together with Michael McDowell, published mystery novels under the joint pseudonym Nathan Aldyne.
  • C. Dennis Weilmann
    Dennis Weilmann is a German politician who serves as the mayor of the city of Wolfsburg.
  • D. Dan Hollander
    Dan Hollander is an American figure skater known for his entertaining, comedic programs and multiple top-ten finishes at the U.S. National Championships in the 1990s.
  • E. Ron Schmidt
    Ron Schmidt is a television producer best known for his executive production work on major series such as the Game of Thrones prequel "House of the Dragon."
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb570b08190ae3385b0cad32668 completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a06f232ba1c8190a30e699c556625f6 completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f328c18881909948ed66d50b9eae completed May 15, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4f990808190b3b8e21f85d20219 completed May 15, 2026, 10:27 a.m.
Created at: April 10, 2026, 5:31 a.m.