Triple

T9985665
Position Surface form Disambiguated ID Type / Status
Subject Katherine Schwarzenegger E196561 entity
Predicate givenName P17 FINISHED
Object Katherine E62170 NE FINISHED

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: Katherine | Statement: [Katherine Schwarzenegger, givenName, Katherine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katherine
Context triple: [Katherine Schwarzenegger, givenName, Katherine]
  • A. Katherine
    Katherine is a regional town in Australia's Northern Territory, known as a key service and transport hub near Nitmiluk (Katherine Gorge) National Park.
  • B. Katherine
    Katherine is one of the witty noblewomen in William Shakespeare’s comedy "Love’s Labour’s Lost," known for her sharp dialogue and role in the play’s romantic entanglements.
  • C. Kathryn chosen
    Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
  • D. Katherine Carey
    Katherine Carey was an English noblewoman of the late 16th century, a member of the influential Carey family closely connected to the Tudor court.
  • E. Mary Desha
    Mary Desha was an American educator and civic leader best known as one of the four co-founders of the patriotic lineage organization Daughters of the American Revolution.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79af13c81909349ae0b0d5da946 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a15f2708190bdc4223d933cec0f completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:49 p.m.