Triple

T24727283
Position Surface form Disambiguated ID Type / Status
Subject Mathrafal dynasty E618187 entity
Predicate hasNotableMember P304 FINISHED
Object Owain ap Gruffudd ap Gwenwynwyn
Owain ap Gruffudd ap Gwenwynwyn was a 13th-century Welsh nobleman and prince of southern Powys, known for his shifting allegiances between the English crown and the princes of Gwynedd.
E1746178 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: Owain ap Gruffudd ap Gwenwynwyn | Statement: [Mathrafal dynasty, hasNotableMember, Owain ap Gruffudd ap Gwenwynwyn]
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: Owain ap Gruffudd ap Gwenwynwyn
Triple: [Mathrafal dynasty, hasNotableMember, Owain ap Gruffudd ap Gwenwynwyn]
Generated description
Owain ap Gruffudd ap Gwenwynwyn was a 13th-century Welsh nobleman and prince of southern Powys, known for his shifting allegiances between the English crown and the princes of Gwynedd.

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_69e2fab772608190b74163751047ff50 completed April 18, 2026, 3:29 a.m.
NER Named-entity recognition batch_69f41032c2dc8190a05765256ac94c29 completed May 1, 2026, 2:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a121e66e284819093df1feb202cd573 completed May 23, 2026, 9:38 p.m.
NEDg Description generation batch_6a121f2214c88190a68cd83be4196fc5 completed May 23, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_6a121f96d69081909fa69572c9e3e1f8 completed May 23, 2026, 9:43 p.m.
Created at: April 18, 2026, 4 a.m.