Triple

T4555998
Position Surface form Disambiguated ID Type / Status
Subject Tess Gerritsen E120479 entity
Predicate familyName P18 FINISHED
Object Gerritsen
Gerritsen is a Dutch-origin surname borne by various notable individuals, including authors, athletes, and public figures.
 E452859 NE FINISHED

How this triple was built (4 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, familyName, Gerritsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerritsen
Context triple: [Tess Gerritsen, familyName, Gerritsen]
  • A. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • B. Gerlach
    Gerlach is a small, remote community in northwestern Nevada best known as the gateway to the Black Rock Desert and the annual Burning Man festival.
  • C. Gerlach
    Gerlach is the highest peak in the High Tatras and in Slovakia, renowned as the tallest summit in the entire Carpathian mountain range.
  • D. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • E. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gerritsen
Triple: [Tess Gerritsen, familyName, Gerritsen]
Generated description
Gerritsen is a Dutch-origin surname borne by various notable individuals, including authors, athletes, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerritsen
Target entity description: Gerritsen is a Dutch-origin surname borne by various notable individuals, including authors, athletes, and public figures.
  • A. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • B. Gerlach
    Gerlach is a small, remote community in northwestern Nevada best known as the gateway to the Black Rock Desert and the annual Burning Man festival.
  • C. Gerlach
    Gerlach is the highest peak in the High Tatras and in Slovakia, renowned as the tallest summit in the entire Carpathian mountain range.
  • D. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • E. Wolthusen
    Wolthusen is a district of the seaport city of Emden in Lower Saxony, Germany, known for its residential character and proximity to the Ems estuary.
  • F. None of above. chosen

Provenance (5 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5814f56c8190a65f61f6148b7e5a completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc57d59f88190857cbda79caf3c38 completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc8a14ca88190b4104c113e150edd completed March 20, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_69bdc95f7064819081c69df00a869c31 completed March 20, 2026, 10:25 p.m.
Created at: March 20, 2026, 1:09 p.m.