Triple
T21928880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Johan Adlercreutz |
E541514
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Adlercreutz
Adlercreutz is a Swedish noble family name historically associated with prominent military officers and statesmen.
|
E1509050
|
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: Adlercreutz | Statement: [Carl Johan Adlercreutz, familyName, Adlercreutz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adlercreutz Context triple: [Carl Johan Adlercreutz, familyName, Adlercreutz]
-
A.
Schlatter
Schlatter is a German-language surname borne by various notable individuals across fields such as entertainment, sports, and academia.
-
B.
Osgood
Osgood is a surname of English origin borne by various notable individuals, including publishers, politicians, and athletes.
-
C.
Schievelbein
Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
-
D.
Aspetar
Aspetar is a specialized sports medicine and orthopaedic hospital in Qatar renowned for treating elite athletes and advancing sports science.
-
E.
Schenkel
Schenkel is a German-language surname borne by various notable individuals in fields such as film, sports, and academia.
- 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: Adlercreutz Triple: [Carl Johan Adlercreutz, familyName, Adlercreutz]
Generated description
Adlercreutz is a Swedish noble family name historically associated with prominent military officers and statesmen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adlercreutz Target entity description: Adlercreutz is a Swedish noble family name historically associated with prominent military officers and statesmen.
-
A.
Schlatter
Schlatter is a German-language surname borne by various notable individuals across fields such as entertainment, sports, and academia.
-
B.
Osgood
Osgood is a surname of English origin borne by various notable individuals, including publishers, politicians, and athletes.
-
C.
Schievelbein
Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
-
D.
Aspetar
Aspetar is a specialized sports medicine and orthopaedic hospital in Qatar renowned for treating elite athletes and advancing sports science.
-
E.
Schenkel
Schenkel is a German-language surname borne by various notable individuals in fields such as film, sports, and academia.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fcd08481909fecbb2cf0405933 |
completed | April 28, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60e3ad4c8190a874b2659388556a |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a618e55c4819099ab070410e4f1a9 |
completed | May 18, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a621fe47081908575a17b9895395a |
completed | May 18, 2026, 12:49 a.m. |
Created at: April 16, 2026, 7:47 p.m.