Triple

T18532231
Position Surface form Disambiguated ID Type / Status
Subject Tess Gerritsen E452859 entity
Predicate hasFamilyName P18 FINISHED
Object Gerritsen 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: Gerritsen | Statement: [Tess Gerritsen, hasFamilyName, Gerritsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerritsen
Context triple: [Tess Gerritsen, hasFamilyName, Gerritsen]
  • A. Gerritsen chosen
    Gerritsen is a Dutch-origin surname borne by various notable individuals, including authors, athletes, and public figures.
  • B. Berghuizen
    Berghuizen is a small village located within the municipality of De Wolden in the Dutch province of Drenthe.
  • C. Meyer-Hetling
    Meyer-Hetling is a German surname most notably associated with Konrad Meyer-Hetling, an agronomist and SS officer involved in Nazi settlement planning.
  • D. Gerrity
    Gerrity is a surname, likely of Irish origin, that serves as a spelling variant of the name Gerry.
  • E. Jacob Gerritsen
    Jacob Gerritsen is known primarily as the husband of bestselling medical thriller author Tess Gerritsen.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fe35288190977c85ee0bb96264 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.