Triple

T37885506
Position Surface form Disambiguated ID Type / Status
Subject Waltz in A-flat major Op. 34 No. 1 E944983 entity
Predicate followsInSet P125022 FINISHED
Object Waltz in A minor Op. 34 No. 2
Waltz in A minor Op. 34 No. 2 is a lyrical and melancholic piano waltz by Frédéric Chopin, noted for its expressive depth and contrasting middle section.
 E2246788 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: Waltz in A minor Op. 34 No. 2 | Statement: [Waltz in A-flat major Op. 34 No. 1, followsInSet, Waltz in A minor Op. 34 No. 2]
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: Waltz in A minor Op. 34 No. 2
Triple: [Waltz in A-flat major Op. 34 No. 1, followsInSet, Waltz in A minor Op. 34 No. 2]
Generated description
Waltz in A minor Op. 34 No. 2 is a lyrical and melancholic piano waltz by Frédéric Chopin, noted for its expressive depth and contrasting middle section.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: followsInSet
Context triple: [Waltz in A-flat major Op. 34 No. 1, followsInSet, Waltz in A minor Op. 34 No. 2]
  • A. followsIn chosen
    Indicates that one entity comes after or succeeds another in a sequence, order, or progression.
  • B. followsFrom
    Indicates that one fact, event, or state logically or causally results from, is implied by, or comes as a consequence of another.
  • C. followsInSingle
    Indicates that one entity immediately follows another in a sequence, with no other entities in between.
  • D. followsBetween
    Indicates that one entity comes after or succeeds another entity within a specified context or sequence.
  • E. followsTo
    Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
  • 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_69f76ef02668819089e7940c4001af5e completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69ff891e4b9c8190aa86a339a8944496 completed May 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4104316e1c8190aecb8293ed0d56dd completed June 28, 2026, 11:23 a.m.
NEDg Description generation batch_6a4104c79fb0819084b62acaa5ae7237 completed June 28, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a4105a3a4308190af9513b596d0e4f2 completed June 28, 2026, 11:29 a.m.
PD Predicate disambiguation batch_69ff8801180c8190b23e20996ca68e0a completed May 9, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:19 p.m.