Triple
T21127972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Ælla of Northumbria |
E520608
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Aelle
Aelle is a semi-legendary early medieval king of Northumbria in what is now northern England.
|
E1467747
|
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: Aelle | Statement: [King Ælla of Northumbria, name, Aelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aelle Context triple: [King Ælla of Northumbria, name, Aelle]
-
A.
Hunilda
Hunilda was a medieval noblewoman known primarily as one of the wives of Bolesław I the Brave, the first crowned king of Poland.
-
B.
Radegonde
Radegonde is a French feminine given name of Germanic origin, historically associated with Saint Radegund, a 6th-century Thuringian princess and Frankish queen.
-
C.
Hermengarda
Hermengarda is a central tragic heroine in Alexandre Herculano’s historical novel "Eurico, o Presbítero," embodying doomed love and the fall of the Visigothic kingdom in Iberia.
-
D.
Adelgunde
Adelgunde was a Bavarian princess from the royal House of Wittelsbach in the 19th century.
-
E.
Harlette
Harlette is a historical figure better known as Herleva, traditionally regarded as the mother of William the Conqueror.
- 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: Aelle Triple: [King Ælla of Northumbria, name, Aelle]
Generated description
Aelle is a semi-legendary early medieval king of Northumbria in what is now northern England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aelle Target entity description: Aelle is a semi-legendary early medieval king of Northumbria in what is now northern England.
-
A.
Hunilda
Hunilda was a medieval noblewoman known primarily as one of the wives of Bolesław I the Brave, the first crowned king of Poland.
-
B.
Radegonde
Radegonde is a French feminine given name of Germanic origin, historically associated with Saint Radegund, a 6th-century Thuringian princess and Frankish queen.
-
C.
Hermengarda
Hermengarda is a central tragic heroine in Alexandre Herculano’s historical novel "Eurico, o Presbítero," embodying doomed love and the fall of the Visigothic kingdom in Iberia.
-
D.
Adelgunde
Adelgunde was a Bavarian princess from the royal House of Wittelsbach in the 19th century.
-
E.
Harlette
Harlette is a historical figure better known as Herleva, traditionally regarded as the mother of William the Conqueror.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7223a7a588190a01a66921b79b98b |
completed | April 21, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965ee05c0819084273a47c09d7d2f |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a09669ac9988190ba5ec8bcf8dc7eb4 |
completed | May 17, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0967821ce08190a23d22439c343f49 |
completed | May 17, 2026, 7 a.m. |
Created at: April 16, 2026, 2:56 p.m.