Triple

T26853227

Position	Surface form	Disambiguated ID	Type / Status
Subject	Moors (fictional kingdom)	`E676113`	entity
Predicate	laterRuledAlongside	`P21629`	FINISHED
Object	Aurora Aurora is the princess-turned-queen from Disney's Sleeping Beauty, known for her enchanted slumber and later rule over the fairy-tale kingdom of the Moors.	`E285207`	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: Aurora | Statement: [Moors (fictional kingdom), laterRuledAlongside, Aurora]

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: Aurora
Triple: [Moors (fictional kingdom), laterRuledAlongside, Aurora]

Generated description

Aurora is the princess-turned-queen from Disney's Sleeping Beauty, known for her enchanted slumber and later rule over the fairy-tale kingdom of the Moors.

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

Target predicate: laterRuledAlongside
Context triple: [Moors (fictional kingdom), laterRuledAlongside, Aurora]

A. hasCoRuler
Indicates that an entity shares ruling authority or governance power jointly with another entity.
B. alsoRuled chosen
Indicates that two or more entities shared ruling authority over the same domain or subjects, either concurrently or at different times.
C. ruledLaterBy
Indicates that one entity came under the rule, governance, or authority of another entity at a later point in time.
D. laterFoughtAlongside
Indicates that two entities, who were previously in some other relationship or context, subsequently fought on the same side as allies in a conflict or battle.
E. reignedUnder
Indicates that one entity exercised ruling authority or governance while being subordinate to, or under the higher sovereignty 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_69eee9b9d7708190a15d7485709ae981`	completed	April 27, 2026, 4:44 a.m.
NER	Named-entity recognition	`batch_69f791cc969c8190bf187d6031a030d5`	completed	May 3, 2026, 6:19 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a121351993481908fd6b4a0c03dcf78`	completed	May 23, 2026, 8:51 p.m.
NEDg	Description generation	`batch_6a12143774a0819094274f9c58871f16`	completed	May 23, 2026, 8:55 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1214e92af48190b857bf935b0fd49d`	completed	May 23, 2026, 8:58 p.m.
PD	Predicate disambiguation	`batch_69f791033d288190b118029fe412b9c9`	completed	May 3, 2026, 6:16 p.m.

Created at: April 27, 2026, 5:19 a.m.