Triple

T10809509
Position Surface form Disambiguated ID Type / Status
Subject Robert Thorn E255058 entity
Predicate spouse P13 FINISHED
Object Katherine Thorn E322457 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 Thorn | Statement: [Robert Thorn, spouse, Katherine Thorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katherine Thorn
Context triple: [Robert Thorn, spouse, Katherine Thorn]
  • A. Katherine Thorn chosen
    Katherine Thorn is a central character in the 1976 horror film "The Omen," portrayed as the adoptive mother of the sinister child Damien.
  • B. Katherine Schofield
    Katherine Schofield is an actress known for her role in the biographical television film "The Josephine Baker Story."
  • C. Katherine Clifton
    Katherine Clifton is a central character in Michael Ondaatje's novel "The English Patient," known for her tragic love affair and its far-reaching consequences during World War II.
  • D. Katherine Scruse
    Katherine Scruse is better known as Katherine Jackson, the matriarch of the Jackson family and mother of pop icon Michael Jackson.
  • E. Elizabeth Mapp
    Elizabeth Mapp is a sharp-tongued, socially ambitious middle-aged woman in a small English town, best known as one of the two rival heroines in E.F. Benson’s comic "Mapp and Lucia" novels.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b6efc48190bb64b5a8fac843c4 completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0ea2b6481909dfd94fe0c3c4499 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:18 p.m.