Triple

T6236279
Position Surface form Disambiguated ID Type / Status
Subject Jonkheer E139485 entity
Predicate femaleEquivalent P1613 FINISHED
Object Jonkvrouw
Jonkvrouw is a Dutch honorific title traditionally used for unmarried women of the lower nobility in the Netherlands and Belgium.
 E577491 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: Jonkvrouw | Statement: [Jonkheer, femaleEquivalent, Jonkvrouw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jonkvrouw
Context triple: [Jonkheer, femaleEquivalent, Jonkvrouw]
  • A. Jonkvrouw van Amsberg
    Jonkvrouw van Amsberg is a Dutch noble title associated with the van Amsberg family, indicating a female member of the untitled nobility.
  • B. Kadın
    Kadın is an Ottoman imperial title historically given to the official consorts of the sultans, ranking below the valide sultan but above most other women in the harem hierarchy.
  • C. Sjoukje
    Sjoukje is a feminine given name of Dutch origin, commonly used in the Netherlands and Friesland.
  • D. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • E. Lady of Leerdam
    Lady of Leerdam was a noble title in the Low Countries historically associated with the Egmond family and other high-ranking aristocratic houses.
  • 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: Jonkvrouw
Triple: [Jonkheer, femaleEquivalent, Jonkvrouw]
Generated description
Jonkvrouw is a Dutch honorific title traditionally used for unmarried women of the lower nobility in the Netherlands and Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jonkvrouw
Target entity description: Jonkvrouw is a Dutch honorific title traditionally used for unmarried women of the lower nobility in the Netherlands and Belgium.
  • A. Jonkvrouw van Amsberg
    Jonkvrouw van Amsberg is a Dutch noble title associated with the van Amsberg family, indicating a female member of the untitled nobility.
  • B. Kadın
    Kadın is an Ottoman imperial title historically given to the official consorts of the sultans, ranking below the valide sultan but above most other women in the harem hierarchy.
  • C. Sjoukje
    Sjoukje is a feminine given name of Dutch origin, commonly used in the Netherlands and Friesland.
  • D. Vibeke
    Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
  • E. Lady of Leerdam
    Lady of Leerdam was a noble title in the Low Countries historically associated with the Egmond family and other high-ranking aristocratic houses.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062f236608190997e77b41095883f completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dfbf42c8190842a471db4ff3de0 completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c215efd48c81908365f0525cb6e3dc completed March 24, 2026, 4:41 a.m.
NED2 Entity disambiguation (via description) batch_69c21654dfac8190a5e985d539e2bcb4 completed March 24, 2026, 4:43 a.m.
Created at: March 22, 2026, 4:23 p.m.