Triple

T35738669
Position Surface form Disambiguated ID Type / Status
Subject Emanuel Hurwitz E1032967 entity
Predicate memberOf P10 FINISHED
Object Melos Ensemble
The Melos Ensemble was a renowned British chamber music group, particularly noted for its flexible instrumentation and influential recordings of 20th-century and classical repertoire.
 E2153226 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: Melos Ensemble | Statement: [Emanuel Hurwitz, memberOf, Melos 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: Melos Ensemble
Triple: [Emanuel Hurwitz, memberOf, Melos Ensemble]
Generated description
The Melos Ensemble was a renowned British chamber music group, particularly noted for its flexible instrumentation and influential recordings of 20th-century and classical repertoire.

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_69f76e10e59081908d81ad9ce22f40b6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a168b33081909e20588b6c65ac6d completed May 3, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387d2304408190b1220cc03d5ba2c2 completed June 22, 2026, 12:09 a.m.
NEDg Description generation batch_6a387f0e8ca88190b2542f3e8bb09305 completed June 22, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_6a387f873ab08190a7e792db20e86743 completed June 22, 2026, 12:19 a.m.
Created at: May 3, 2026, 4:05 p.m.