Triple

T16998329
Position Surface form Disambiguated ID Type / Status
Subject SHINE Medical Technologies E412373 entity
Predicate hasKeyPerson P256 FINISHED
Object Greg Piefer 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: Greg Piefer | Statement: [SHINE Medical Technologies, hasKeyPerson, Greg Piefer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Piefer
Context triple: [SHINE Medical Technologies, hasKeyPerson, Greg Piefer]
  • A. Greg Piefer chosen
    Greg Piefer is an American nuclear engineer and entrepreneur best known as the founder and CEO of SHINE Medical Technologies, a company developing advanced technologies for producing medical isotopes and fusion-based applications.
  • B. Paul Biegler
    Paul Biegler is a small-town Michigan lawyer and the central protagonist of the courtroom drama novel and film "Anatomy of a Murder."
  • C. Michael Peyser
    Michael Peyser is an American film and television producer known for his work on a variety of studio and independent projects.
  • D. William Diehl
    William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
  • E. Guy Schuessler
    Guy Schuessler is a British actor and theatre professional best known as the husband of acclaimed stage and screen actress Dame Harriet Walter.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37c16d081908ea5e25c992cb254 completed April 18, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.