Triple

T11587934
Position Surface form Disambiguated ID Type / Status
Subject Ceawlin of Wessex E274800 entity
Predicate royalHouse P8992 FINISHED
Object Gewisse
Gewisse was an early Anglo-Saxon tribal group or dynasty in southern England that formed the core of what later became the kingdom of Wessex.
 E935004 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: Gewisse | Statement: [Ceawlin of Wessex, royalHouse, Gewisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gewisse
Context triple: [Ceawlin of Wessex, royalHouse, Gewisse]
  • A. Gunten
    Gunten is a small lakeside village in the Swiss canton of Bern, known for its scenic location on the shores of Lake Thun in the Bernese Oberland.
  • B. Gustchen
    Gustchen is a character from Jakob Michael Reinhold Lenz’s play "Der Hofmeister," known as one of its notable figures.
  • C. Gasselte
    Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
  • D. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • E. Ganz
    Ganz is a German-language surname most notably borne by Swiss actor Bruno Ganz, renowned for his roles in films such as "Wings of Desire" and "Downfall."
  • 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: Gewisse
Triple: [Ceawlin of Wessex, royalHouse, Gewisse]
Generated description
Gewisse was an early Anglo-Saxon tribal group or dynasty in southern England that formed the core of what later became the kingdom of Wessex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gewisse
Target entity description: Gewisse was an early Anglo-Saxon tribal group or dynasty in southern England that formed the core of what later became the kingdom of Wessex.
  • A. Gunten
    Gunten is a small lakeside village in the Swiss canton of Bern, known for its scenic location on the shores of Lake Thun in the Bernese Oberland.
  • B. Gustchen
    Gustchen is a character from Jakob Michael Reinhold Lenz’s play "Der Hofmeister," known as one of its notable figures.
  • C. Gasselte
    Gasselte is a village in the Dutch province of Drenthe, known for its surrounding forests, heathlands, and recreational lakes.
  • D. Weinert
    Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
  • E. Ganz
    Ganz is a German-language surname most notably borne by Swiss actor Bruno Ganz, renowned for his roles in films such as "Wings of Desire" and "Downfall."
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89463360c8190b91228c46bfe2e5f completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7143ee0548190b71ddae0ab7c68cb completed April 21, 2026, 6:07 a.m.
NEDg Description generation batch_69e720fb192881909c129f93c8b88f42 completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e7233efb6c81909dbf1aef080f5598 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.