Triple

T22137227
Position Surface form Disambiguated ID Type / Status
Subject Jan Englert E547061 entity
Predicate familyName P18 FINISHED
Object Englert 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: Englert | Statement: [Jan Englert, familyName, Englert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Englert
Context triple: [Jan Englert, familyName, Englert]
  • A. Englert chosen
    Englert is a Belgian theoretical physicist renowned for his work on the Brout–Englert–Higgs mechanism, which underpins the modern understanding of how particles acquire mass.
  • B. Guralnik
    Guralnik is a surname most notably associated with American theoretical physicist Gerald Guralnik, a co-discoverer of the Higgs mechanism.
  • C. The Englert
    The Englert is a historic performing arts venue in Iowa City, Iowa, hosting live music, theater, film, and community events.
  • D. Eckart
    Eckart is a German surname most notably associated with Dietrich Eckart, an early 20th-century nationalist writer and influential figure in the rise of Nazism.
  • E. Eisinger
    Eisinger is a surname of German origin borne by various notable individuals in fields such as literature, film, and academia.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bac764819099ba4896a161ef1c completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.