Triple

T34797798
Position Surface form Disambiguated ID Type / Status
Subject The Mages Guild E1003135 entity
Predicate governingBody P46 FINISHED
Object Council of Mages
The Council of Mages is the ruling leadership body of the Mages Guild, composed of its most powerful and influential spellcasters who set policies and oversee magical affairs.
E2112883 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: Council of Mages | Statement: [The Mages Guild, governingBody, Council of Mages]
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: Council of Mages
Triple: [The Mages Guild, governingBody, Council of Mages]
Generated description
The Council of Mages is the ruling leadership body of the Mages Guild, composed of its most powerful and influential spellcasters who set policies and oversee magical affairs.

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_69f76db543808190b188c6c86a91491b completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77a86050881909fa363fe6984f79f completed May 3, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a376fa9e7dc8190943192fe85c15ab5 completed June 21, 2026, 4:59 a.m.
NEDg Description generation batch_6a3770687b8c8190b271515f54eed3b8 completed June 21, 2026, 5:02 a.m.
NED2 Entity disambiguation (via description) batch_6a37719bed38819094df932b534a7b6a completed June 21, 2026, 5:07 a.m.
Created at: May 3, 2026, 3:59 p.m.