Triple

T32651655
Position Surface form Disambiguated ID Type / Status
Subject Ben Lanz E834748 entity
Predicate associatedAct P37 FINISHED
Object The National Brass Ensemble
The National Brass Ensemble is a collective of top brass players from leading American orchestras, known for performing virtuosic brass repertoire and commissioning new works.
 E2016075 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 National Brass Ensemble | Statement: [Ben Lanz, associatedAct, The National Brass Ensemble]
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 National Brass Ensemble
Triple: [Ben Lanz, associatedAct, The National Brass Ensemble]
Generated description
The National Brass Ensemble is a collective of top brass players from leading American orchestras, known for performing virtuosic brass repertoire and commissioning new works.

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_69f3492f72248190ba42fa596aea50e1 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c77694dc8190b25d3c32c0d461e0 completed May 3, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492ab758c8190b814a5215970a48c completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a349348b22881909d8ba7ccb9abf6e8 completed June 19, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_6a3493e81ad88190825bbd5b0be3800c completed June 19, 2026, 12:57 a.m.
Created at: May 1, 2026, 1:08 a.m.