Triple

T20775296
Position Surface form Disambiguated ID Type / Status
Subject Guttmann E511338 entity
Predicate hasVariant P455 FINISHED
Object Guttman 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: Guttman | Statement: [Guttmann, hasVariant, Guttman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guttman
Context triple: [Guttmann, hasVariant, Guttman]
  • A. Guttman chosen
    Guttman is a public community college in New York City that is part of the City University of New York (CUNY) system, known for its innovative, student-centered educational model.
  • B. Gohfeld
    Gohfeld is a district of the town of Löhne in North Rhine-Westphalia, Germany.
  • C. Guttmann
    Guttmann is a German-language surname most notably associated with Sir Ludwig Guttmann, a pioneering neurologist and founder of the Paralympic movement.
  • D. Grossbaum
    Grossbaum is the original family surname of Benjamin Graham, the influential economist and "father of value investing."
  • E. Spearman
    Spearman is a surname most notably associated with Charles Spearman, the English psychologist who pioneered factor analysis and proposed the theory of a general intelligence factor, g.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26b06ac81909aef3b0a0ad79a33 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.