Triple

T2626816
Position Surface form Disambiguated ID Type / Status
Subject Wendela Bicker E59136 entity
Predicate hasGivenName P17 FINISHED
Object Wendela
Wendela is a feminine given name of Dutch origin, historically associated with members of prominent Amsterdam patrician families.
 E283481 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: Wendela | Statement: [Wendela Bicker, hasGivenName, Wendela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wendela
Context triple: [Wendela Bicker, hasGivenName, Wendela]
  • A. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • B. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • C. Lindi
    Lindi is a feminine given name, typically used as a variant or diminutive of names like Linda.
  • D. Yenda
    Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
  • E. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • 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: Wendela
Triple: [Wendela Bicker, hasGivenName, Wendela]
Generated description
Wendela is a feminine given name of Dutch origin, historically associated with members of prominent Amsterdam patrician families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wendela
Target entity description: Wendela is a feminine given name of Dutch origin, historically associated with members of prominent Amsterdam patrician families.
  • A. Lusiana
    Lusiana is a small town in the Veneto region of northern Italy, known as the birthplace of Indian politician Sonia Gandhi.
  • B. Bongi
    Bongi is a neighborhood located in the city of Recife, in northeastern Brazil.
  • C. Lindi
    Lindi is a feminine given name, typically used as a variant or diminutive of names like Linda.
  • D. Yenda
    Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
  • E. Ndowe
    Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b3f72c819085e88f1d74495593 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a06c4c81908cc4dca65f2190bd completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af92089ef48190bcc31106e98e3cdf completed March 10, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69af927bb1d0819081ab11eb4470e28d completed March 10, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:50 p.m.