Triple

T24817218
Position Surface form Disambiguated ID Type / Status
Subject Owain Gwynedd E620956 entity
Predicate child P120 FINISHED
Object Gwenllian ferch Owain Gwynedd
Gwenllian ferch Owain Gwynedd was a 12th-century Welsh princess, daughter of the powerful king of Gwynedd, whose lineage linked her to the leading royal dynasty of medieval Wales.
 E1660357 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: Gwenllian ferch Owain Gwynedd | Statement: [Owain Gwynedd, child, Gwenllian ferch Owain Gwynedd]
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: Gwenllian ferch Owain Gwynedd
Triple: [Owain Gwynedd, child, Gwenllian ferch Owain Gwynedd]
Generated description
Gwenllian ferch Owain Gwynedd was a 12th-century Welsh princess, daughter of the powerful king of Gwynedd, whose lineage linked her to the leading royal dynasty of medieval Wales.

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_69e2fabfd4648190bd0e5c7f4dbb6cab completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4229401148190ab5b57da94aea80d completed May 1, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10488a764081909016ad7569ad99dd completed May 22, 2026, 12:14 p.m.
NEDg Description generation batch_6a1049149e648190803dd1d0fb8fb4a4 completed May 22, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_6a1049becb848190b035eff19c6cd5ad completed May 22, 2026, 12:19 p.m.
Created at: April 18, 2026, 5:03 a.m.