Triple

T31823770
Position Surface form Disambiguated ID Type / Status
Subject Cedric the Sorcerer E812336 entity
Predicate worksFor P5820 FINISHED
Object Royal Family of Enchancia
The Royal Family of Enchancia is the ruling monarchic household in the animated series "Sofia the First," presiding over the magical kingdom of Enchancia.
E1980325 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: Royal Family of Enchancia | Statement: [Cedric the Sorcerer, worksFor, Royal Family of Enchancia]
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: Royal Family of Enchancia
Triple: [Cedric the Sorcerer, worksFor, Royal Family of Enchancia]
Generated description
The Royal Family of Enchancia is the ruling monarchic household in the animated series "Sofia the First," presiding over the magical kingdom of Enchancia.

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_69f348e97fa48190aa06286962af6dee completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6af8130148190834cca27b2458735 completed May 3, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e659ce76c8190b5f830be0f136bfa completed June 14, 2026, 8:26 a.m.
NEDg Description generation batch_6a2e67df9e848190ac29f050a2653988 completed June 14, 2026, 8:35 a.m.
NED2 Entity disambiguation (via description) batch_6a2e6853771481909ebe0e2cdbfa97f5 completed June 14, 2026, 8:37 a.m.
Created at: April 30, 2026, 11:46 p.m.