Triple

T13294225
Position Surface form Disambiguated ID Type / Status
Subject Count Claus-Casimir of Oranje-Nassau E316637 entity
Predicate givenName P17 FINISHED
Object Claus-Casimir
Claus-Casimir is a Dutch prince of the House of Orange-Nassau, known as one of the younger members of the Dutch royal family.
E1033084 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: Claus-Casimir | Statement: [Count Claus-Casimir of Oranje-Nassau, givenName, Claus-Casimir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claus-Casimir
Context triple: [Count Claus-Casimir of Oranje-Nassau, givenName, Claus-Casimir]
  • A. Claus-Johannes
    Claus-Johannes is a masculine given name of German origin, typically used as a compound first name.
  • B. Claes
    Claes is a given name of Dutch origin, historically borne by early settlers such as Claes Maartenszen van Rosenvelt, an ancestor of the American Roosevelt family.
  • C. Niklaus
    Niklaus is a masculine given name of Germanic origin, notably borne by Swiss computer scientist Niklaus Wirth.
  • D. Johan Ernst
    Johan Ernst is the given name of Johan Ernst Welhaven, a notable 19th-century Norwegian poet and critic associated with the cultural debates of his time.
  • E. Woldemar
    Woldemar is a masculine given name of Germanic origin, commonly considered a variant of Waldemar.
  • 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: Claus-Casimir
Triple: [Count Claus-Casimir of Oranje-Nassau, givenName, Claus-Casimir]
Generated description
Claus-Casimir is a Dutch prince of the House of Orange-Nassau, known as one of the younger members of the Dutch royal family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Claus-Casimir
Target entity description: Claus-Casimir is a Dutch prince of the House of Orange-Nassau, known as one of the younger members of the Dutch royal family.
  • A. Claus-Johannes
    Claus-Johannes is a masculine given name of German origin, typically used as a compound first name.
  • B. Claes
    Claes is a given name of Dutch origin, historically borne by early settlers such as Claes Maartenszen van Rosenvelt, an ancestor of the American Roosevelt family.
  • C. Niklaus
    Niklaus is a masculine given name of Germanic origin, notably borne by Swiss computer scientist Niklaus Wirth.
  • D. Johan Ernst
    Johan Ernst is the given name of Johan Ernst Welhaven, a notable 19th-century Norwegian poet and critic associated with the cultural debates of his time.
  • E. Woldemar
    Woldemar is a masculine given name of Germanic origin, commonly considered a variant of Waldemar.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99078bcf0819083195fb556bcacb2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716d8ee2081908428339216c43b47 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f717b7b6dc8190ab323c1926dd9adb completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f7186b6218819096c67e9dd9af609f completed May 3, 2026, 9:42 a.m.
Created at: April 9, 2026, 9:28 p.m.