Triple

T24513607
Position Surface form Disambiguated ID Type / Status
Subject Edward Mitchell Bannister E606296 entity
Predicate memberOf P10 FINISHED
Object Providence Art Club
Providence Art Club is a historic arts organization in Providence, Rhode Island, known for fostering a community of artists and exhibiting fine art since the late 19th century.
E1638811 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: Providence Art Club | Statement: [Edward Mitchell Bannister, memberOf, Providence Art Club]
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: Providence Art Club
Triple: [Edward Mitchell Bannister, memberOf, Providence Art Club]
Generated description
Providence Art Club is a historic arts organization in Providence, Rhode Island, known for fostering a community of artists and exhibiting fine art since the late 19th century.

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_69e2c4c725148190a4e41577c5cb409c completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a84ee76081909163a841274e63bb completed April 30, 2026, 12:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee8f9da881908d1756de8761fb2e completed May 22, 2026, 5:50 a.m.
NEDg Description generation batch_6a0fef20efe08190bb4cb412e2473ae5 completed May 22, 2026, 5:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff08d9fac81909ea8af6e6b10102a completed May 22, 2026, 5:58 a.m.
Created at: April 18, 2026, 2:24 a.m.