Triple

T21836146
Position Surface form Disambiguated ID Type / Status
Subject Lola Van Wagenen E539124 entity
Predicate familyName P18 FINISHED
Object Van Wagenen
Van Wagenen is a surname of Dutch origin borne by various notable individuals, including historian and activist Lola Van Wagenen.
 E1503944 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: Van Wagenen | Statement: [Lola Van Wagenen, familyName, Van Wagenen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Van Wagenen
Context triple: [Lola Van Wagenen, familyName, Van Wagenen]
  • A. Van Doos
    Van Doos is the English nickname for the Royal 22e Régiment, a famed French-speaking infantry regiment of the Canadian Army.
  • B. Van Brand
    Van Brand is a film and television production company known for producing the comedy movie "Fist Fight."
  • C. van Rij
    van Rij is a Dutch surname most notably borne by politician and tax advisor Marnix van Rij.
  • D. Mennekes
    Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
  • E. Godard van Reede
    Godard van Reede was a Dutch general in the Williamite War in Ireland, noted for his leadership of William III’s forces in several key battles.
  • 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: Van Wagenen
Triple: [Lola Van Wagenen, familyName, Van Wagenen]
Generated description
Van Wagenen is a surname of Dutch origin borne by various notable individuals, including historian and activist Lola Van Wagenen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Van Wagenen
Target entity description: Van Wagenen is a surname of Dutch origin borne by various notable individuals, including historian and activist Lola Van Wagenen.
  • A. Van Doos
    Van Doos is the English nickname for the Royal 22e Régiment, a famed French-speaking infantry regiment of the Canadian Army.
  • B. Van Brand
    Van Brand is a film and television production company known for producing the comedy movie "Fist Fight."
  • C. van Rij
    van Rij is a Dutch surname most notably borne by politician and tax advisor Marnix van Rij.
  • D. Mennekes
    Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
  • E. Godard van Reede
    Godard van Reede was a Dutch general in the Williamite War in Ireland, noted for his leadership of William III’s forces in several key battles.
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a7c368819094e0c4548be30798 completed April 28, 2026, 12:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45ef0edc819081b1dcd1225bd6d7 completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a470429148190ad08fd983d6288cc completed May 17, 2026, 10:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0a47cca1c0819081d48d680f32f424 completed May 17, 2026, 10:57 p.m.
Created at: April 16, 2026, 6:55 p.m.