Triple

T28368395
Position Surface form Disambiguated ID Type / Status
Subject Sophia Margaret Gray E718553 entity
Predicate siblingOf P363 FINISHED
Object Everett Millais Gray
Everett Millais Gray was a member of the Victorian-era Gray family connected to the Pre-Raphaelite circle through his sister, the artist’s model and muse Sophia Margaret Gray.
E1828958 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: Everett Millais Gray | Statement: [Sophia Margaret Gray, siblingOf, Everett Millais Gray]
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: Everett Millais Gray
Triple: [Sophia Margaret Gray, siblingOf, Everett Millais Gray]
Generated description
Everett Millais Gray was a member of the Victorian-era Gray family connected to the Pre-Raphaelite circle through his sister, the artist’s model and muse Sophia Margaret Gray.

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_69eff6ed5af48190be4e0adf298223e0 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64c582da481909a86d6f72b452ad7 completed May 2, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc35e7c348190bcdd43e58784fc30 completed May 31, 2026, 11:25 p.m.
NEDg Description generation batch_6a1cc42a1b08819092125b1f3d09f2ca completed May 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc4e253288190bb4e761d17423cbf completed May 31, 2026, 11:31 p.m.
Created at: April 28, 2026, 12:57 a.m.