Triple

T25372814
Position Surface form Disambiguated ID Type / Status
Subject The Sword in the Stone (1963 film) E632972 entity
Predicate voiceCast P18510 FINISHED
Object Rickie Sorensen
Rickie Sorensen was an American child actor best known for being one of the voices of young King Arthur in Disney’s animated film "The Sword in the Stone" (1963).
E1674697 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: Rickie Sorensen | Statement: [The Sword in the Stone (1963 film), voiceCast, Rickie Sorensen]
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: Rickie Sorensen
Triple: [The Sword in the Stone (1963 film), voiceCast, Rickie Sorensen]
Generated description
Rickie Sorensen was an American child actor best known for being one of the voices of young King Arthur in Disney’s animated film "The Sword in the Stone" (1963).

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_69e75a90c0dc819092f928b6ea0ecc72 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f55e519978819087a1676564a74630 completed May 2, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a107609b6908190ad345c52a79a8268 completed May 22, 2026, 3:28 p.m.
NEDg Description generation batch_6a1076ba66588190bc35f122ee016bb0 completed May 22, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_6a1077935d948190b863fda3fdd47965 completed May 22, 2026, 3:34 p.m.
Created at: April 21, 2026, 1:38 p.m.