Triple

T18298844
Position Surface form Disambiguated ID Type / Status
Subject Alderson disk E438301 entity
Predicate namedAfter P63 FINISHED
Object Dan Alderson NE NERFINISHED

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: Dan Alderson | Statement: [Alderson disk, namedAfter, Dan Alderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Alderson
Context triple: [Alderson disk, namedAfter, Dan Alderson]
  • A. Dan Alderson chosen
    Dan Alderson was an American scientist and science fiction fan best known for his imaginative astrophysical concepts, including the theoretical Alderson disk megastructure.
  • B. Dan D'Antoni
    Dan D'Antoni is an American basketball coach and former player best known for his up-tempo, three-point–oriented offensive philosophy and long association with Marshall University and the NBA.
  • C. Red Holzman
    Red Holzman was a Hall of Fame basketball coach best known for leading the New York Knicks to two NBA championships in the early 1970s.
  • D. Steve Fisher
    Steve Fisher is an American college basketball coach best known for revitalizing the San Diego State Aztecs program and previously leading the Michigan Wolverines to the 1989 NCAA championship.
  • E. Steve Fisher
    Steve Fisher was an American writer best known for his prolific work as a crime and mystery novelist and Hollywood screenwriter during the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017d96588190ac1e326803142976 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.