Triple
T5973470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord High Treasurer of Sweden |
E132928
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object |
Lars von Engeström
Lars von Engeström was a Swedish statesman and diplomat who became one of the leading political figures of his time, notably serving in top governmental roles during the early 19th century.
|
E559795
|
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: Lars von Engeström | Statement: [Lord High Treasurer of Sweden, officeHolder, Lars von Engeström]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lars von Engeström Context triple: [Lord High Treasurer of Sweden, officeHolder, Lars von Engeström]
-
A.
Andrea diSessa
Andrea diSessa is an American educational researcher and cognitive scientist known for his work on physics education, computational literacy, and the design of learning environments.
-
B.
Janus Friis
Janus Friis is a Danish entrepreneur best known for co-founding the internet communications platform Skype.
-
C.
Jens Blauert
Jens Blauert is a German acoustician renowned for his pioneering work in spatial hearing and psychoacoustics.
-
D.
Nikolaj Bjørner
Nikolaj Bjørner is a computer scientist best known for his work on automated theorem proving and the development of the Z3 SMT solver.
-
E.
Eero Haapalainen
Eero Haapalainen was a Finnish socialist politician and military leader who served as the commander-in-chief of the Red Guards during the Finnish Civil War.
- 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: Lars von Engeström Triple: [Lord High Treasurer of Sweden, officeHolder, Lars von Engeström]
Generated description
Lars von Engeström was a Swedish statesman and diplomat who became one of the leading political figures of his time, notably serving in top governmental roles during the early 19th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lars von Engeström Target entity description: Lars von Engeström was a Swedish statesman and diplomat who became one of the leading political figures of his time, notably serving in top governmental roles during the early 19th century.
-
A.
Andrea diSessa
Andrea diSessa is an American educational researcher and cognitive scientist known for his work on physics education, computational literacy, and the design of learning environments.
-
B.
Janus Friis
Janus Friis is a Danish entrepreneur best known for co-founding the internet communications platform Skype.
-
C.
Jens Blauert
Jens Blauert is a German acoustician renowned for his pioneering work in spatial hearing and psychoacoustics.
-
D.
Nikolaj Bjørner
Nikolaj Bjørner is a computer scientist best known for his work on automated theorem proving and the development of the Z3 SMT solver.
-
E.
Eero Haapalainen
Eero Haapalainen was a Finnish socialist politician and military leader who served as the commander-in-chief of the Red Guards during the Finnish Civil War.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a01dd4081909097342afff31f9b |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e40fa2488190b82d604d51b73090 |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0f85e33d8819080d9d721421b4c5b |
completed | March 23, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0fad0bdf08190bf6599d492848582 |
completed | March 23, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:03 p.m.