Triple

T33150446
Position Surface form Disambiguated ID Type / Status
Subject Worshipful Company of Skinners E848419 entity
Predicate governedBy P46 FINISHED
Object Court of Assistants
The Court of Assistants is the governing body of the Worshipful Company of Skinners, overseeing its administration, charitable activities, and ceremonial functions within the City of London livery company structure.
E551838 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: Court of Assistants | Statement: [Worshipful Company of Skinners, governedBy, Court of Assistants]
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: Court of Assistants
Triple: [Worshipful Company of Skinners, governedBy, Court of Assistants]
Generated description
The Court of Assistants is the governing body of the Worshipful Company of Skinners, overseeing its administration, charitable activities, and ceremonial functions within the City of London livery company structure.

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_69f3495a458c8190a1d34b237ba0be3f completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d894b1d48190b2523614bc5df916 completed May 3, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36117939b48190ab9042b0e1b679ea completed June 20, 2026, 4:05 a.m.
NEDg Description generation batch_6a361378069081909386b40cc20daffd completed June 20, 2026, 4:13 a.m.
NED2 Entity disambiguation (via description) batch_6a3613ef98f88190af545fbc5dd7ec59 completed June 20, 2026, 4:15 a.m.
Created at: May 1, 2026, 1:28 a.m.