Triple

T27139381
Position Surface form Disambiguated ID Type / Status
Subject Alan Sacks E681773 entity
Predicate notableWork P4 FINISHED
Object The Color of Friendship
The Color of Friendship is a 2000 Disney Channel Original Movie that explores themes of racism, apartheid, and cross-cultural understanding through the friendship between an African American girl and a white South African exchange student.
E178781 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: The Color of Friendship | Statement: [Alan Sacks, notableWork, The Color of Friendship]
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: The Color of Friendship
Triple: [Alan Sacks, notableWork, The Color of Friendship]
Generated description
The Color of Friendship is a 2000 Disney Channel Original Movie that explores themes of racism, apartheid, and cross-cultural understanding through the friendship between an African American girl and a white South African exchange student.

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_69eefacca3888190b67238d380e8f28b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6247cdfe88190890ef13287dbdc46 completed May 2, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c58c098481908cdb7d15d8c4a53c completed May 24, 2026, 9:31 a.m.
NEDg Description generation batch_6a12c6815f2081908101a3e47b812298 completed May 24, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_6a12c6fb1e588190997a8fd210b5e52b completed May 24, 2026, 9:38 a.m.
Created at: April 27, 2026, 9:08 a.m.