Triple

T32647415
Position Surface form Disambiguated ID Type / Status
Subject Disney DVD E834630 entity
Predicate partOf P40 FINISHED
Object Disney home entertainment brands
Disney home entertainment brands is the umbrella under which The Walt Disney Company markets and distributes its films and television content on physical and digital formats for home viewing.
E1127670 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: Disney home entertainment brands | Statement: [Disney DVD, partOf, Disney home entertainment brands]
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: Disney home entertainment brands
Triple: [Disney DVD, partOf, Disney home entertainment brands]
Generated description
Disney home entertainment brands is the umbrella under which The Walt Disney Company markets and distributes its films and television content on physical and digital formats for home viewing.

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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c753e13c81908eeb6f70c38a34c7 completed May 3, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492a7b0288190ac08bbab38a4ba40 completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a349348b22881909d8ba7ccb9abf6e8 completed June 19, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_6a3493e636b08190852e2c7126ce950a completed June 19, 2026, 12:57 a.m.
Created at: May 1, 2026, 1:07 a.m.