Triple

T29998890
Position Surface form Disambiguated ID Type / Status
Subject Lieder by Felix Mendelssohn E762106 entity
Predicate notableCycle P204287 FINISHED
Object Op. 71 Lieder
Op. 71 Lieder is a notable song cycle by Felix Mendelssohn, comprising art songs that showcase his lyrical Romantic style and refined melodic writing.
 E1904118 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: Op. 71 Lieder | Statement: [Lieder by Felix Mendelssohn, notableCycle, Op. 71 Lieder]
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: Op. 71 Lieder
Triple: [Lieder by Felix Mendelssohn, notableCycle, Op. 71 Lieder]
Generated description
Op. 71 Lieder is a notable song cycle by Felix Mendelssohn, comprising art songs that showcase his lyrical Romantic style and refined melodic writing.

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_69f224695498819094a81037cad401e2 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_6a036bb679108190a44f92ef12c39d53 completed May 12, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2757fe646c8190bb2069dba3d0fce7 completed June 9, 2026, 12:02 a.m.
NEDg Description generation batch_6a275a7d33848190ba11aeb45c7e8b83 completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275b11987081908ec648ce1eeceed3 completed June 9, 2026, 12:15 a.m.
Created at: April 29, 2026, 6:40 p.m.