Triple

T33211666
Position Surface form Disambiguated ID Type / Status
Subject Maxim Trevelyan E850177 entity
Predicate inLoveWith P7325 FINISHED
Object Alessia Demachi
Alessia Demachi is a central character in E.L. James’s novel "The Mister," portrayed as a vulnerable yet resilient young Albanian woman whose relationship with aristocrat Maxim Trevelyan drives the story’s romantic plot.
E850178 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: Alessia Demachi | Statement: [Maxim Trevelyan, inLoveWith, Alessia Demachi]
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: Alessia Demachi
Triple: [Maxim Trevelyan, inLoveWith, Alessia Demachi]
Generated description
Alessia Demachi is a central character in E.L. James’s novel "The Mister," portrayed as a vulnerable yet resilient young Albanian woman whose relationship with aristocrat Maxim Trevelyan drives the story’s romantic plot.

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_69f3495fb92c819083ce65d0ddee7a76 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6da2b19b481909a88a6455bc9cef1 completed May 3, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3576d1ac608190b3f5c19971fd9a1d completed June 19, 2026, 5:05 p.m.
NEDg Description generation batch_6a357740f6108190842f9570d1029b5f completed June 19, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_6a35788be1508190b1794f59d4c78502 completed June 19, 2026, 5:12 p.m.
Created at: May 1, 2026, 1:30 a.m.