Triple

T32616085
Position Surface form Disambiguated ID Type / Status
Subject Anastasia Steele E833788 entity
Predicate employer P7 FINISHED
Object Seattle Independent Publishing
Seattle Independent Publishing is a fictional Seattle-based publishing company featured in the "Fifty Shades of Grey" series as Anastasia Steele’s workplace.
E2015324 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: Seattle Independent Publishing | Statement: [Anastasia Steele, employer, Seattle Independent Publishing]
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: Seattle Independent Publishing
Triple: [Anastasia Steele, employer, Seattle Independent Publishing]
Generated description
Seattle Independent Publishing is a fictional Seattle-based publishing company featured in the "Fifty Shades of Grey" series as Anastasia Steele’s workplace.

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_69f3492bfa648190b6ae472074634e29 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c6eaa5508190b8e2979583f3ca7f completed May 3, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34861e12188190821b4e50ed6a6734 completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a3486c2afa881909c2af63e7d642668 completed June 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a34895926748190b5a5b5e82f4944fc completed June 19, 2026, 12:12 a.m.
Created at: May 1, 2026, 1:06 a.m.