Triple

T27502175

Position	Surface form	Disambiguated ID	Type / Status
Subject	Rockport Music	`E694184`	entity
Predicate	organizes	`P123`	FINISHED
Object	Rockport Chamber Music Festival Rockport Chamber Music Festival is an annual classical music event in Rockport, Massachusetts, known for presenting world-class chamber ensembles and soloists in an intimate seaside setting.	`E1776021`	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: Rockport Chamber Music Festival | Statement: [Rockport Music, organizes, Rockport Chamber Music Festival]

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: Rockport Chamber Music Festival
Triple: [Rockport Music, organizes, Rockport Chamber Music Festival]

Generated description

Rockport Chamber Music Festival is an annual classical music event in Rockport, Massachusetts, known for presenting world-class chamber ensembles and soloists in an intimate seaside setting.

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_69ef538370888190b1ddf53bb4831188`	completed	April 27, 2026, 12:16 p.m.
NER	Named-entity recognition	`batch_69f62ec3aa68819094b9c490569a427b`	completed	May 2, 2026, 5:05 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12bbf8fabc81909c4d133548e75dff`	completed	May 24, 2026, 8:51 a.m.
NEDg	Description generation	`batch_6a12bd4dacfc81908c61517b7286c35d`	completed	May 24, 2026, 8:56 a.m.
NED2	Entity disambiguation (via description)	`batch_6a12bdeacda08190bfe8354ed2666d23`	completed	May 24, 2026, 8:59 a.m.

Created at: April 27, 2026, 1:11 p.m.