Triple

T37886232
Position Surface form Disambiguated ID Type / Status
Subject Op. 10 No. 3 E944999 entity
Predicate slowMovementTitle P39539 FINISHED
Object Largo e mesto
"Largo e mesto" is the expressive, slow second movement of Beethoven’s Piano Sonata No. 7 in D major, Op. 10 No. 3, noted for its somber and introspective character.
 E2246138 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: Largo e mesto | Statement: [Op. 10 No. 3, slowMovementTitle, Largo e mesto]
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: Largo e mesto
Triple: [Op. 10 No. 3, slowMovementTitle, Largo e mesto]
Generated description
"Largo e mesto" is the expressive, slow second movement of Beethoven’s Piano Sonata No. 7 in D major, Op. 10 No. 3, noted for its somber and introspective character.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: slowMovementTitle
Context triple: [Op. 10 No. 3, slowMovementTitle, Largo e mesto]
  • A. slowMotionVideo
    Indicates that the video content is captured or played back at a reduced speed relative to real time, creating a slow-motion effect.
  • B. hasSlowMovement
    Indicates that an entity exhibits movement that is slower than a normal or expected speed.
  • C. slows
    Indicates that one entity causes another entity’s speed, rate, or progress to decrease.
  • D. slowerThan
    Indicates that one entity moves or operates at a lower speed than another entity.
  • E. movement1Title chosen
    Indicates the title or descriptive label assigned to a specific movement within a larger work or sequence.
  • 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_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4104335c888190a45d806bc2f196c7 completed June 28, 2026, 11:23 a.m.
NEDg Description generation batch_6a410518c978819098c8b58f1db78284 completed June 28, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_6a41057aa6c48190bb38aa82b5649d43 completed June 28, 2026, 11:28 a.m.
PD Predicate disambiguation batch_69fbbd166a488190b1bf9316b0790801 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:19 p.m.