Triple
T4961269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anneke Wills |
E111412
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Anneke
Anneke is a feminine given name of Dutch origin, commonly used in the Netherlands and other Germanic-language regions.
|
E482260
|
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: Anneke | Statement: [Anneke Wills, givenName, Anneke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anneke Context triple: [Anneke Wills, givenName, Anneke]
-
A.
Anneke Harmensdr
Anneke Harmensdr was the first wife of Dutch Golden Age portrait painter Frans Hals.
-
B.
Saskia
Saskia is a female given name of Germanic origin, most famously borne by Saskia van Uylenburgh, the wife and frequent model of the Dutch painter Rembrandt.
-
C.
Annelies
Annelies is the given first name of Anne Frank, the Jewish diarist whose writings from hiding during the Holocaust became world-famous.
-
D.
Marijke
Marijke is the baptismal name of Princess Christina of the Netherlands, the youngest daughter of Queen Juliana and Prince Bernhard.
-
E.
Agneta
Agneta is a feminine given name, primarily used in Scandinavian countries, that is a variant of the name Agnes.
- 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: Anneke Triple: [Anneke Wills, givenName, Anneke]
Generated description
Anneke is a feminine given name of Dutch origin, commonly used in the Netherlands and other Germanic-language regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anneke Target entity description: Anneke is a feminine given name of Dutch origin, commonly used in the Netherlands and other Germanic-language regions.
-
A.
Anneke Harmensdr
Anneke Harmensdr was the first wife of Dutch Golden Age portrait painter Frans Hals.
-
B.
Saskia
Saskia is a female given name of Germanic origin, most famously borne by Saskia van Uylenburgh, the wife and frequent model of the Dutch painter Rembrandt.
-
C.
Annelies
Annelies is the given first name of Anne Frank, the Jewish diarist whose writings from hiding during the Holocaust became world-famous.
-
D.
Marijke
Marijke is the baptismal name of Princess Christina of the Netherlands, the youngest daughter of Queen Juliana and Prince Bernhard.
-
E.
Agneta
Agneta is a feminine given name, primarily used in Scandinavian countries, that is a variant of the name Agnes.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71dc06a48190827d54a5c0351aab |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81e7dba88190ab0f2d99a931cf0e |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be83006dac819093e3becdbc1c2925 |
completed | March 21, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be83614a508190b870e857436cbed2 |
completed | March 21, 2026, 11:39 a.m. |
Created at: March 20, 2026, 1:32 p.m.