Triple

T28425716
Position Surface form Disambiguated ID Type / Status
Subject Mark Rosman E720069 entity
Predicate employer P7 FINISHED
Object Walt Disney Television
Walt Disney Television is the television production and broadcasting division associated with The Walt Disney Company, responsible for creating and distributing a wide range of family-oriented and entertainment programming.
E230768 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: Walt Disney Television | Statement: [Mark Rosman, employer, Walt Disney Television]
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: Walt Disney Television
Triple: [Mark Rosman, employer, Walt Disney Television]
Generated description
Walt Disney Television is the television production and broadcasting division associated with The Walt Disney Company, responsible for creating and distributing a wide range of family-oriented and entertainment programming.

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_69eff6f1c5088190bc24bfbf92f9c017 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64dfda7708190ac49e8fdcb2ddc1c completed May 2, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1633224f8481908f8d3b098c4dc8aa completed May 26, 2026, 11:56 p.m.
NEDg Description generation batch_6a1634256d74819090c95b262c5e6873 completed May 27, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a1635bc8c488190bb284e3caa3c6641 completed May 27, 2026, 12:07 a.m.
Created at: April 28, 2026, 1:36 a.m.