Triple

T22368343
Position Surface form Disambiguated ID Type / Status
Subject Troy Glaus E552970 entity
Predicate familyName P18 FINISHED
Object Glaus 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: Glaus | Statement: [Troy Glaus, familyName, Glaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glaus
Context triple: [Troy Glaus, familyName, Glaus]
  • A. Glaus chosen
    Glaus is a surname most notably associated with former Major League Baseball third baseman Troy Glaus.
  • B. Gjoa
    Gjoa is a feminine given name, best known from the Norwegian form "Gjøa," historically associated with Roald Amundsen’s Arctic exploration ship.
  • C. Iselin
    Iselin is an unincorporated community and census-designated place in Middlesex County, New Jersey, known for its diverse population and proximity to major transportation routes.
  • D. Follebu
    Follebu is a village in Innlandet county, Norway, known for its rural setting and traditional Norwegian countryside character within Gausdal municipality.
  • E. Kvernes
    Kvernes is a village and historic parish area in Averøy Municipality in Møre og Romsdal county, Norway, known for its cultural heritage and scenic coastal landscape.
  • 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_69e11e4affcc8190ba7c27d29062558d completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1580229688190a6e5e02b484033f7 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.