Triple

T6854395
Position Surface form Disambiguated ID Type / Status
Subject Camp Hansen E158101 entity
Predicate namedAfter P63 FINISHED
Object Dale Hansen
Dale Hansen was a U.S. Marine and Medal of Honor recipient from World War II, honored posthumously through the naming of Camp Hansen in Okinawa, Japan.
 E624462 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: Dale Hansen | Statement: [Camp Hansen, namedAfter, Dale Hansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dale Hansen
Context triple: [Camp Hansen, namedAfter, Dale Hansen]
  • A. Dan Houser
    Dan Houser is a British video game writer and producer best known as the co-founder of Rockstar Games and a lead creative behind the Grand Theft Auto and Red Dead Redemption series.
  • B. Dale Beldin
    Dale Beldin is a film editor best known for his work on the action-comedy movie "Beverly Hills Cop III."
  • C. Bryan Olson
    Bryan Olson is a musician best known for his work with the indie supergroup Gayngs.
  • D. Warren Skaaren
    Warren Skaaren was an American screenwriter and script doctor best known for his work on major 1980s films such as "Beetlejuice" and "Batman."
  • E. Gary Cederstrom
    Gary Cederstrom is a longtime Major League Baseball umpire who has officiated numerous postseason games and served as crew chief in multiple World Series.
  • 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: Dale Hansen
Triple: [Camp Hansen, namedAfter, Dale Hansen]
Generated description
Dale Hansen was a U.S. Marine and Medal of Honor recipient from World War II, honored posthumously through the naming of Camp Hansen in Okinawa, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dale Hansen
Target entity description: Dale Hansen was a U.S. Marine and Medal of Honor recipient from World War II, honored posthumously through the naming of Camp Hansen in Okinawa, Japan.
  • A. Dan Houser
    Dan Houser is a British video game writer and producer best known as the co-founder of Rockstar Games and a lead creative behind the Grand Theft Auto and Red Dead Redemption series.
  • B. Dale Beldin
    Dale Beldin is a film editor best known for his work on the action-comedy movie "Beverly Hills Cop III."
  • C. Bryan Olson
    Bryan Olson is a musician best known for his work with the indie supergroup Gayngs.
  • D. Warren Skaaren
    Warren Skaaren was an American screenwriter and script doctor best known for his work on major 1980s films such as "Beetlejuice" and "Batman."
  • E. Gary Cederstrom
    Gary Cederstrom is a longtime Major League Baseball umpire who has officiated numerous postseason games and served as crew chief in multiple World Series.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d851321481908c49c2c949359703 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fdda9cc8190b039f892d046d7af completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c73913cac88190b97db49266b30b23 completed March 28, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69c739c4313881909fa14f471db0f923 completed March 28, 2026, 2:15 a.m.
Created at: March 27, 2026, 2:20 p.m.