Triple
T8821772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald D. Engen |
E209920
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Engen
Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
|
E759753
|
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: Engen | Statement: [Donald D. Engen, familyName, Engen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engen Context triple: [Donald D. Engen, familyName, Engen]
-
A.
Engey
Engey is a small uninhabited island in Iceland, located just off the coast of Reykjavík in Faxaflói Bay.
-
B.
Teckberg
Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
-
C.
Eurong
Eurong is a small coastal settlement on K’gari (Fraser Island) in Queensland, Australia, serving as a popular base for visitors exploring the island’s beaches, lakes, and rainforests.
-
D.
Óengusa
Óengusa is an Old Irish personal name, historically borne by early medieval Gaelic figures and preserved in various patronymic forms.
-
E.
Enying
Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
- 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: Engen Triple: [Donald D. Engen, familyName, Engen]
Generated description
Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Engen Target entity description: Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
-
A.
Engey
Engey is a small uninhabited island in Iceland, located just off the coast of Reykjavík in Faxaflói Bay.
-
B.
Teckberg
Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
-
C.
Eurong
Eurong is a small coastal settlement on K’gari (Fraser Island) in Queensland, Australia, serving as a popular base for visitors exploring the island’s beaches, lakes, and rainforests.
-
D.
Óengusa
Óengusa is an Old Irish personal name, historically borne by early medieval Gaelic figures and preserved in various patronymic forms.
-
E.
Enying
Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc601126248190b6f10c22f1aeac9a |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6fd064208190b1c8e1e1848763d2 |
completed | April 3, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69cf71e0bd14819089a9667d573f2295 |
completed | April 3, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf743758c881909eecaf9bdbb047e5 |
completed | April 3, 2026, 8:03 a.m. |
Created at: March 30, 2026, 6:46 p.m.