Triple

T834213
Position Surface form Disambiguated ID Type / Status
Subject Royal Stockholm Philharmonic Orchestra E18033 entity
Predicate recordLabel P1500 FINISHED
Object Ondine
Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
 E97588 NE FINISHED

How this triple was built (4 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: Ondine | Statement: [Royal Stockholm Philharmonic Orchestra, recordLabel, Ondine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ondine
Context triple: [Royal Stockholm Philharmonic Orchestra, recordLabel, Ondine]
  • A. Lenore
    "Lenore" is a melancholic poem by Edgar Allan Poe that explores themes of death, mourning, and idealized love through the lament for a lost woman.
  • B. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • C. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • D. Gretchen
    Gretchen is the given name of Gretchen C. Daily, an influential American ecologist and environmental scientist known for her work on biodiversity conservation and ecosystem services.
  • E. Elis
    Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Ondine
Triple: [Royal Stockholm Philharmonic Orchestra, recordLabel, Ondine]
Generated description
Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ondine
Target entity description: Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
  • A. Lenore
    "Lenore" is a melancholic poem by Edgar Allan Poe that explores themes of death, mourning, and idealized love through the lament for a lost woman.
  • B. Annabella
    Annabella was a French film actress of the 1930s and 1940s, known for her work in both European and Hollywood cinema.
  • C. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • D. Gretchen
    Gretchen is the given name of Gretchen C. Daily, an influential American ecologist and environmental scientist known for her work on biodiversity conservation and ecosystem services.
  • E. Elis
    Elis was an ancient region in the western Peloponnese of Greece, best known as the administrative center of the Olympic Games held at nearby Olympia.
  • F. None of above. chosen

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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb84fe081909b8f4b4202845860 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9b57fc8190981ed4eeb2ac5548 completed March 3, 2026, 11:24 p.m.
NEDg Description generation batch_69a782fae3f48190b27e5f0aefa1dd70 completed March 4, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_69a7838451348190838910e90866a1f0 completed March 4, 2026, 12:57 a.m.
Created at: March 1, 2026, 7:38 p.m.