Triple

T5116686
Position Surface form Disambiguated ID Type / Status
Subject Wouter J. Hanegraaff E115352 entity
Predicate familyName P18 FINISHED
Object Hanegraaff
Hanegraaff is the surname of Wouter J. Hanegraaff, a prominent Dutch scholar of Western esotericism and religious studies.
 E493328 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: Hanegraaff | Statement: [Wouter J. Hanegraaff, familyName, Hanegraaff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hanegraaff
Context triple: [Wouter J. Hanegraaff, familyName, Hanegraaff]
  • A. Verhagen
    Verhagen is a Dutch-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • B. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • C. Greeff
    Greeff is a surname of likely Afrikaans or Dutch origin borne by individuals such as Jacoba Elizabeth Greeff.
  • D. Hartmann
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • E. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • 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: Hanegraaff
Triple: [Wouter J. Hanegraaff, familyName, Hanegraaff]
Generated description
Hanegraaff is the surname of Wouter J. Hanegraaff, a prominent Dutch scholar of Western esotericism and religious studies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hanegraaff
Target entity description: Hanegraaff is the surname of Wouter J. Hanegraaff, a prominent Dutch scholar of Western esotericism and religious studies.
  • A. Verhagen
    Verhagen is a Dutch-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • B. Aeltge Velthuys
    Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
  • C. Greeff
    Greeff is a surname of likely Afrikaans or Dutch origin borne by individuals such as Jacoba Elizabeth Greeff.
  • D. Hartmann
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • E. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75cfa9f88190aa7dfd264e554899 completed March 20, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaafd674819080b751216e5b6f70 completed March 21, 2026, 3:35 p.m.
NEDg Description generation batch_69bebb27171481909492cad522ac143b completed March 21, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69bebc71065881908b27a2808fc4e630 completed March 21, 2026, 3:42 p.m.
Created at: March 20, 2026, 1:41 p.m.