Triple

T28950754

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ygerna	`E731006`	entity
Predicate	spouseSequence	`P178587`	FINISHED
Object	first Gorlois then Uther Pendragon Ygerna is a figure from Arthurian legend best known as the mother of King Arthur, having first been married to Gorlois and later to Uther Pendragon.	`E69698`	NE FINISHED

How this triple was built (3 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: first Gorlois then Uther Pendragon | Statement: [Ygerna, spouseSequence, first Gorlois then Uther Pendragon]

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: first Gorlois then Uther Pendragon
Triple: [Ygerna, spouseSequence, first Gorlois then Uther Pendragon]

Generated description

Ygerna is a figure from Arthurian legend best known as the mother of King Arthur, having first been married to Gorlois and later to Uther Pendragon.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: spouseSequence
Context triple: [Ygerna, spouseSequence, first Gorlois then Uther Pendragon]

A. spouseOfSequence chosen
Indicates a sequential or ordered relationship of being spouses, where each entity is married to the next in the sequence.
B. spouseOrder
Indicates the position or sequence of a person among multiple spouses in a marital relationship.
C. motherSpouseOrder
Indicates that the subject is the spouse of the object’s mother, with an ordering or ranking among multiple such spouses.
D. spouseOfType
Indicates that one entity is the spouse of another, specifying the type or role of that spousal relationship.
E. spouseOfChildren
Indicates that one entity is the spouse (husband or wife) of the children of another entity.
F. None of above.

Provenance (6 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_69f043eb9bcc819091ac7b07aecb6475`	completed	April 28, 2026, 5:21 a.m.
NER	Named-entity recognition	`batch_69f74c70fd248190a9d5543afcb08211`	completed	May 3, 2026, 1:24 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a24ec4bd51881909649115a4d9899e8`	completed	June 7, 2026, 3:58 a.m.
NEDg	Description generation	`batch_6a24f361eb1c81908af2edcd1b5ce61e`	completed	June 7, 2026, 4:28 a.m.
NED2	Entity disambiguation (via description)	`batch_6a24f737f09c819090521d265cd7ba84`	completed	June 7, 2026, 4:44 a.m.
PD	Predicate disambiguation	`batch_69f7478e3b548190a51d5d436e2bb036`	completed	May 3, 2026, 1:03 p.m.

Created at: April 28, 2026, 8:43 a.m.