Triple

T31417121
Position Surface form Disambiguated ID Type / Status
Subject Jay Asher E801420 entity
Predicate notableWork P4 FINISHED
Object The Future of Us
The Future of Us is a young adult novel co-written by Jay Asher and Carolyn Mackler that explores how two teens’ lives might change when they mysteriously gain access to their future Facebook profiles in the 1990s.
E1967338 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 Future of Us | Statement: [Jay Asher, notableWork, The Future of Us]
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 Future of Us
Triple: [Jay Asher, notableWork, The Future of Us]
Generated description
The Future of Us is a young adult novel co-written by Jay Asher and Carolyn Mackler that explores how two teens’ lives might change when they mysteriously gain access to their future Facebook profiles in the 1990s.

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_69f348c26f048190b4adadd71b4596c5 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a09165c88190897c1ee7463b249c completed May 3, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b2d6bce148190b33e2454d6668f2f completed June 11, 2026, 9:49 p.m.
NEDg Description generation batch_6a2b2fb7c10c8190a426374ba7e230fc completed June 11, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_6a2b310483b0819090147b38cdc00cf8 completed June 11, 2026, 10:04 p.m.
Created at: April 30, 2026, 8:44 p.m.