Triple
T20205057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wouter J. Hanegraaff |
E493328
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hanegraaff |
—
|
NE NERFINISHED |
How this triple was built (2 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.
Hanegraaff
chosen
Hanegraaff is the surname of Wouter J. Hanegraaff, a prominent Dutch scholar of Western esotericism and religious studies.
-
B.
Verhagen
Verhagen is a Dutch-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
-
C.
de Greiff
de Greiff is a Colombian family name most prominently associated with the influential poet León de Greiff.
-
D.
Aeltge Velthuys
Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
-
E.
Hauerz
Hauerz is a village and district of the spa town Bad Wurzach in the Ravensburg district of Baden-Württemberg, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d913c088190b80b251fba5c368f |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.