Triple

T23337697
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey Chew E591641 entity
Predicate doctoralStudent P167 FINISHED
Object John Schwarz 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: John Schwarz | Statement: [Geoffrey Chew, doctoralStudent, John Schwarz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Schwarz
Context triple: [Geoffrey Chew, doctoralStudent, John Schwarz]
  • A. John H. Schwarz chosen
    John H. Schwarz is an American theoretical physicist best known as one of the founders of superstring theory and a pioneer in the development of string theory as a candidate for a unified theory of fundamental forces.
  • B. Robert Jaffe
    Robert Jaffe is an American screenwriter and film producer known for his work on science fiction and horror films.
  • C. Gerald Guralnik
    Gerald Guralnik was an American theoretical physicist best known as one of the co-discoverers of the Higgs mechanism that explains how particles acquire mass.
  • D. Dan Appelquist
    Dan Appelquist is a web standards and open web advocate known for his leadership in internet architecture and governance, including chairing key World Wide Web Consortium (W3C) groups.
  • E. Stanley R. Jaffe
    Stanley R. Jaffe is an American film producer best known for his work on acclaimed movies such as "Kramer vs. Kramer."
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1982f8574819090f8b0ba249237a3 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:17 p.m.