Triple

T16113102
Position Surface form Disambiguated ID Type / Status
Subject Gesina ter Borch E390928 entity
Predicate givenName P17 FINISHED
Object Gesina
Gesina is a feminine given name of Dutch origin, historically borne by figures such as the 17th-century artist and diarist Gesina ter Borch.
 E1194445 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: Gesina | Statement: [Gesina ter Borch, givenName, Gesina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gesina
Context triple: [Gesina ter Borch, givenName, Gesina]
  • A. Gessa
    Gessa is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and mountain setting.
  • B. Andrina
    Andrina is one of King Triton’s mermaid daughters and a supporting character in Disney’s "The Little Mermaid" franchise.
  • C. Gisela
    Gisela was a daughter of the West Frankish king and Holy Roman Emperor Charles the Bald, belonging to the Carolingian royal dynasty of the 9th century.
  • D. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • E. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • 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: Gesina
Triple: [Gesina ter Borch, givenName, Gesina]
Generated description
Gesina is a feminine given name of Dutch origin, historically borne by figures such as the 17th-century artist and diarist Gesina ter Borch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gesina
Target entity description: Gesina is a feminine given name of Dutch origin, historically borne by figures such as the 17th-century artist and diarist Gesina ter Borch.
  • A. Gessa
    Gessa is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and mountain setting.
  • B. Andrina
    Andrina is one of King Triton’s mermaid daughters and a supporting character in Disney’s "The Little Mermaid" franchise.
  • C. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • D. Gisela
    Gisela was a daughter of the West Frankish king and Holy Roman Emperor Charles the Bald, belonging to the Carolingian royal dynasty of the 9th century.
  • E. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20168bf98819093c3260d4fde2b53 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba90ffc81909d5eb8f0cfa9f147 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec6ce4e881908b530a981375cc55 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffed469a5c8190932fa4ebc44358c4 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 5 a.m.