Triple
T21993274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huisman |
E543140
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Wim Huisman
Wim Huisman is a notable individual recognized for bearing the Dutch surname Huisman.
|
E1517581
|
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: Wim Huisman | Statement: [Huisman, hasNotableBearer, Wim Huisman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wim Huisman Context triple: [Huisman, hasNotableBearer, Wim Huisman]
-
A.
Theo Huisman
Theo Huisman is a person notable enough to be recognized as a prominent bearer of the Dutch surname Huisman.
-
B.
Michiel Huisman
Michiel Huisman is a Dutch actor and musician known for roles in international film and television, including series like Game of Thrones and The Haunting of Hill House.
-
C.
Mathijs de Jonge
Mathijs de Jonge is a Dutch video game director best known for leading the development of Guerrilla Games’ acclaimed action RPG Horizon Zero Dawn.
-
D.
Jeroen Huisman
Jeroen Huisman is a scholar known for his research on higher education policy, governance, and organization.
-
E.
Ed Speleers
Ed Speleers is an English actor best known for his roles in the fantasy film "Eragon" and the television series "Downton Abbey" and "Outlander."
- 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: Wim Huisman Triple: [Huisman, hasNotableBearer, Wim Huisman]
Generated description
Wim Huisman is a notable individual recognized for bearing the Dutch surname Huisman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wim Huisman Target entity description: Wim Huisman is a notable individual recognized for bearing the Dutch surname Huisman.
-
A.
Theo Huisman
Theo Huisman is a person notable enough to be recognized as a prominent bearer of the Dutch surname Huisman.
-
B.
Michiel Huisman
Michiel Huisman is a Dutch actor and musician known for roles in international film and television, including series like Game of Thrones and The Haunting of Hill House.
-
C.
Mathijs de Jonge
Mathijs de Jonge is a Dutch video game director best known for leading the development of Guerrilla Games’ acclaimed action RPG Horizon Zero Dawn.
-
D.
Jeroen Huisman
Jeroen Huisman is a scholar known for his research on higher education policy, governance, and organization.
-
E.
Ed Speleers
Ed Speleers is an English actor best known for his roles in the fantasy film "Eragon" and the television series "Downton Abbey" and "Outlander."
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1270f77fc8190aadcc02760d65ac0 |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a809cc7fc81908c9d7164ed135b41 |
completed | May 18, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_6a0a8484d02c8190a030f896a697820e |
completed | May 18, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a8538ae648190b1c6315a7af34d3f |
completed | May 18, 2026, 3:19 a.m. |
Created at: April 16, 2026, 8:15 p.m.