Triple
T4528826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piet |
E106244
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Piet Kraak
Piet Kraak was a Dutch football goalkeeper who played for the Netherlands national team in the mid-20th century.
|
E450244
|
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: Piet Kraak | Statement: [Piet, hasNotableBearer, Piet Kraak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piet Kraak Context triple: [Piet, hasNotableBearer, Piet Kraak]
-
A.
Piet de Jong
Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
-
B.
Hendrik de Vries
Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
-
C.
Koos Vorrink
Koos Vorrink was a prominent Dutch social-democratic politician and trade union leader who played a key role in shaping the modern Labour Party (PvdA) in the Netherlands.
-
D.
Gerrit Grijns
Gerrit Grijns was a Dutch physician and physiologist known for his pioneering work on nutritional deficiency diseases, particularly in clarifying the role of vitamins in preventing beriberi.
-
E.
Willem Drost
Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
- 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: Piet Kraak Triple: [Piet, hasNotableBearer, Piet Kraak]
Generated description
Piet Kraak was a Dutch football goalkeeper who played for the Netherlands national team in the mid-20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piet Kraak Target entity description: Piet Kraak was a Dutch football goalkeeper who played for the Netherlands national team in the mid-20th century.
-
A.
Piet de Jong
Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
-
B.
Hendrik de Vries
Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
-
C.
Koos Vorrink
Koos Vorrink was a prominent Dutch social-democratic politician and trade union leader who played a key role in shaping the modern Labour Party (PvdA) in the Netherlands.
-
D.
Gerrit Grijns
Gerrit Grijns was a Dutch physician and physiologist known for his pioneering work on nutritional deficiency diseases, particularly in clarifying the role of vitamins in preventing beriberi.
-
E.
Willem Drost
Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd5779593081908593537b9239e01b |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacd8d7b0819082c8797a2f819cd5 |
completed | March 20, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_69bdad97c9e0819093849c81fb2a3d8c |
completed | March 20, 2026, 8:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdae2dd51081909a24017a4b983f70 |
completed | March 20, 2026, 8:29 p.m. |
Created at: March 20, 2026, 1:03 p.m.