Triple
T5226523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Aart Maaskant |
E118001
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hugh Aart
Hugh Aart is the given name of Hugh Aart Maaskant, a notable Dutch architect.
|
E502601
|
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: Hugh Aart | Statement: [Hugh Aart Maaskant, givenName, Hugh Aart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Aart Context triple: [Hugh Aart Maaskant, givenName, Hugh Aart]
-
A.
Alan Hume
Alan Hume was a British cinematographer known for his work on several James Bond films and other major features such as "Return of the Jedi."
-
B.
James Heerdegen
James Heerdegen is an American camera technician and dolly grip best known to the public for his former marriage to actress Christina Ricci.
-
C.
Arthur Arling
Arthur Arling was an American cinematographer best known for his Academy Award-winning work on mid-20th-century Hollywood films.
-
D.
Henry Heath
Henry Heath is a relatively obscure individual whose name is notably associated with the surname Heath.
-
E.
John Bluthal
John Bluthal was a Polish-born British actor best known for his comic roles in British television and film, including his memorable performance in the sitcom "The Vicar of Dibley."
- 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: Hugh Aart Triple: [Hugh Aart Maaskant, givenName, Hugh Aart]
Generated description
Hugh Aart is the given name of Hugh Aart Maaskant, a notable Dutch architect.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugh Aart Target entity description: Hugh Aart is the given name of Hugh Aart Maaskant, a notable Dutch architect.
-
A.
Alan Hume
Alan Hume was a British cinematographer known for his work on several James Bond films and other major features such as "Return of the Jedi."
-
B.
James Heerdegen
James Heerdegen is an American camera technician and dolly grip best known to the public for his former marriage to actress Christina Ricci.
-
C.
Arthur Arling
Arthur Arling was an American cinematographer best known for his Academy Award-winning work on mid-20th-century Hollywood films.
-
D.
Henry Heath
Henry Heath is a relatively obscure individual whose name is notably associated with the surname Heath.
-
E.
John Bluthal
John Bluthal was a Polish-born British actor best known for his comic roles in British television and film, including his memorable performance in the sitcom "The Vicar of Dibley."
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adc9be081909903b9f844c3d146 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeffea8f481909c86c932781c4e2a |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef097f5e48190b8a28995f345c764 |
completed | March 21, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef0f0ceb081908600d75b6e52f45a |
completed | March 21, 2026, 7:26 p.m. |
Created at: March 20, 2026, 1:48 p.m.