Triple

T24584987
Position Surface form Disambiguated ID Type / Status
Subject Cædwalla of Wessex E608360 entity
Predicate alternativeName P39 FINISHED
Object Ceadwalla of Wessex
Ceadwalla of Wessex was a late 7th-century king of the Anglo-Saxon kingdom of Wessex known for his aggressive expansion, conquest of Sussex and the Isle of Wight, and his later abdication and pilgrimage to Rome.
E1660102 NE FINISHED

How this triple was built (2 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: Ceadwalla of Wessex | Statement: [Cædwalla of Wessex, alternativeName, Ceadwalla of Wessex]
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: Ceadwalla of Wessex
Triple: [Cædwalla of Wessex, alternativeName, Ceadwalla of Wessex]
Generated description
Ceadwalla of Wessex was a late 7th-century king of the Anglo-Saxon kingdom of Wessex known for his aggressive expansion, conquest of Sussex and the Isle of Wight, and his later abdication and pilgrimage to Rome.

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_69e2c4ce89248190ad99e18f0638dfbb completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a98600888190aa631d2c237af60a completed April 30, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1032eb0c6c81908062c1fdd706a030 completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a1036bd7ef88190acbce5aa615d8f96 completed May 22, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_6a1037661b4c8190bbc903ad42356eec completed May 22, 2026, 11 a.m.
Created at: April 18, 2026, 2:29 a.m.