Triple

T28331743
Position Surface form Disambiguated ID Type / Status
Subject étude E717553 entity
Predicate hasNotableExampleSet P61425 FINISHED
Object Chopin Études, Op. 10
Chopin Études, Op. 10 is a landmark collection of twelve piano studies by Frédéric Chopin that revolutionized technical virtuosity while remaining highly expressive concert pieces.
 E1821056 NE FINISHED

How this triple was built (3 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: Chopin Études, Op. 10 | Statement: [étude, hasNotableExampleSet, Chopin Études, Op. 10]
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: Chopin Études, Op. 10
Triple: [étude, hasNotableExampleSet, Chopin Études, Op. 10]
Generated description
Chopin Études, Op. 10 is a landmark collection of twelve piano studies by Frédéric Chopin that revolutionized technical virtuosity while remaining highly expressive concert pieces.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNotableExampleSet
Context triple: [étude, hasNotableExampleSet, Chopin Études, Op. 10]
  • A. hasExample
    Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
  • B. hasNotableUseExample
    Indicates that there exists a particularly significant or illustrative example of how something is used.
  • C. hasNonExample
    Indicates that something is associated with an instance that explicitly does not satisfy or illustrate a given concept, rule, or category.
  • D. hasNotableWorkExample chosen
    Indicates that an entity has a specific notable work cited as an example associated with it.
  • E. hasNotableWorkSetThere
    Indicates that a notable work (such as a book, film, or other creative piece) is set in or takes place within the referenced location.
  • F. None of above.

Provenance (6 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_69eff6e9a57c8190a69c2c74b5d72119 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69ff1c91bbac8190b84012dee1cb3b2c completed May 9, 2026, 11:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a16416d7c8481909d99649e8835bf2f completed May 27, 2026, 12:57 a.m.
NEDg Description generation batch_6a1ca4ea5f9881909252686ff40ff9bd completed May 31, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_6a1ca5e071008190a2014d179576fddb completed May 31, 2026, 9:19 p.m.
PD Predicate disambiguation batch_69ff1c23ca508190bb5a435d765b7e53 completed May 9, 2026, 11:36 a.m.
Created at: April 28, 2026, 12:32 a.m.