Triple

T395574
Position Surface form Disambiguated ID Type / Status
Subject Joe Nickell E8975 entity
Predicate name P16 FINISHED
Object Joe Nickell E8975 NE FINISHED

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: Joe Nickell | Statement: [Joe Nickell, name, Joe Nickell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Nickell
Context triple: [Joe Nickell, name, Joe Nickell]
  • A. Joe Nickell chosen
    Joe Nickell is an American investigator and author best known for his skeptical examinations of paranormal, religious, and historical claims.
  • B. James Randi
    James Randi was a Canadian-American stage magician and prominent skeptic best known for debunking paranormal and pseudoscientific claims through rigorous scientific investigation and public challenges.
  • C. Paul G. Hoffman
    Paul G. Hoffman was an American automobile executive and public administrator best known for leading post–World War II European recovery efforts and later serving in prominent roles at the United Nations.
  • D. David L. Goodstein
    David L. Goodstein is an American physicist and educator known for his work in condensed matter physics, science education, and authorship of popular science books.
  • E. Michael V. Drake
    Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec792dd081909b6b18a854139f8c completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a405fa43448190b3e78d83e791b105 completed March 1, 2026, 9:25 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.