Triple
T17956457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordulf, Duke of Saxony |
E448961
|
entity |
| Predicate | house |
P1505
|
FINISHED |
| Object |
Billung
Billung was a prominent medieval German noble family that held the Duchy of Saxony and played a key role in the politics of the Holy Roman Empire.
|
E1298436
|
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: Billung | Statement: [Ordulf, Duke of Saxony, house, Billung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billung Context triple: [Ordulf, Duke of Saxony, house, Billung]
-
A.
Biltine
Biltine is a town in eastern Chad that serves as an administrative and regional center in the Wadi Fira area.
-
B.
Billiri
Billiri is a town and administrative center in northeastern Nigeria known for serving as one of the local government areas within Gombe State.
-
C.
Bugulma
Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
-
D.
Billinudgel
Billinudgel is a small rural village in the Northern Rivers region of New South Wales, Australia, known for its historic pub and laid-back country atmosphere.
-
E.
Stößen
Stößen is a small town in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan area.
- 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: Billung Triple: [Ordulf, Duke of Saxony, house, Billung]
Generated description
Billung was a prominent medieval German noble family that held the Duchy of Saxony and played a key role in the politics of the Holy Roman Empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Billung Target entity description: Billung was a prominent medieval German noble family that held the Duchy of Saxony and played a key role in the politics of the Holy Roman Empire.
-
A.
Biltine
Biltine is a town in eastern Chad that serves as an administrative and regional center in the Wadi Fira area.
-
B.
Billiri
Billiri is a town and administrative center in northeastern Nigeria known for serving as one of the local government areas within Gombe State.
-
C.
Bugulma
Bugulma is a town in the Republic of Tatarstan, Russia, known as an industrial and cultural center in the southeastern part of the region.
-
D.
Billinudgel
Billinudgel is a small rural village in the Northern Rivers region of New South Wales, Australia, known for its historic pub and laid-back country atmosphere.
-
E.
Stößen
Stößen is a small town in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan area.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afb0afe08190964e771ec632fa1e |
completed | April 19, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0329211004819095d9e16c82b6f338 |
completed | May 12, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_6a032bb89b7c81908e9848a406e4b5c9 |
completed | May 12, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032d115740819095872ea03beba747 |
completed | May 12, 2026, 1:37 p.m. |
Created at: April 10, 2026, 10:21 a.m.