Triple

T29448724
Position Surface form Disambiguated ID Type / Status
Subject Sherlockians E746921 entity
Predicate associatedWith P37 FINISHED
Object The Sherlock Holmes Journal
The Sherlock Holmes Journal is a leading periodical dedicated to scholarship, commentary, and fandom surrounding Arthur Conan Doyle’s famous detective and the wider Sherlockian community.
E1870703 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 Sherlock Holmes Journal | Statement: [Sherlockians, associatedWith, The Sherlock Holmes Journal]
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 Sherlock Holmes Journal
Triple: [Sherlockians, associatedWith, The Sherlock Holmes Journal]
Generated description
The Sherlock Holmes Journal is a leading periodical dedicated to scholarship, commentary, and fandom surrounding Arthur Conan Doyle’s famous detective and the wider Sherlockian community.

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_69f0a7a230488190b44a97fe3d16f731 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66b22beec8190978f4cf0f602fc20 completed May 2, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f10918f881908e5115723e163c6e completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25fc1c8480819094e5f391b35f323b completed June 7, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a2606dcb6ec81909d4cebcc8a7663d8 completed June 8, 2026, 12:03 a.m.
Created at: April 28, 2026, 3:30 p.m.