Triple

T30809886
Position Surface form Disambiguated ID Type / Status
Subject Gerald Finzi E784614 entity
Predicate notableWork P4 FINISHED
Object A Young Man’s Exhortation
A Young Man’s Exhortation is a song cycle for tenor and piano by English composer Gerald Finzi, setting poems by Thomas Hardy that reflect on youth, love, and the passage of time.
 E1933844 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: A Young Man’s Exhortation | Statement: [Gerald Finzi, notableWork, A Young Man’s Exhortation]
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: A Young Man’s Exhortation
Triple: [Gerald Finzi, notableWork, A Young Man’s Exhortation]
Generated description
A Young Man’s Exhortation is a song cycle for tenor and piano by English composer Gerald Finzi, setting poems by Thomas Hardy that reflect on youth, love, and the passage of time.

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_69f224b4eda48190bd212ce4f3901e56 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69063edbc81909e7735954aabee0b completed May 3, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbdddd6081908e699bf4476615db completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bda7d45881909ac66e31b6a9e81c completed June 10, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a28beb8708081909929053567fe8249 completed June 10, 2026, 1:32 a.m.
Created at: April 29, 2026, 8:43 p.m.