Triple

T37885507

Position	Surface form	Disambiguated ID	Type / Status
Subject	Waltz in A-flat major Op. 34 No. 1	`E944983`	entity
Predicate	precedesInSet	`P114484`	FINISHED
Object	Waltz in F major Op. 34 No. 3 Waltz in F major Op. 34 No. 3 is a lively and technically demanding piano waltz by Frédéric Chopin, noted for its brilliant virtuosity and playful character.	`E2248343`	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 F major Op. 34 No. 3 | Statement: [Waltz in A-flat major Op. 34 No. 1, precedesInSet, Waltz in F major Op. 34 No. 3]

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 F major Op. 34 No. 3
Triple: [Waltz in A-flat major Op. 34 No. 1, precedesInSet, Waltz in F major Op. 34 No. 3]

Generated description

Waltz in F major Op. 34 No. 3 is a lively and technically demanding piano waltz by Frédéric Chopin, noted for its brilliant virtuosity and playful character.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: precedesInSet
Context triple: [Waltz in A-flat major Op. 34 No. 1, precedesInSet, Waltz in F major Op. 34 No. 3]

A. precedentSet
Indicates that one event, decision, or case establishes a guiding example or standard that influences how subsequent similar situations are judged or handled.
B. precededByInPosition
Indicates that one entity occurs or appears immediately before another entity in a specific ordered position or sequence.
C. precededByInGroup chosen
Indicates that one entity comes before another in the ordered sequence within the same group or collection.
D. precedesInStability
Indicates that one entity is more stable than another, coming earlier in an ordering based on stability.
E. precedesFeature
Indicates that one feature occurs, is implemented, or is introduced before another feature in a defined sequence or timeline.
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_69fe163a41a0819098403b470e327d29`	completed	May 8, 2026, 4:58 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a410cc0dfa08190b6415b202d4efb94`	completed	June 28, 2026, noon
NEDg	Description generation	`batch_6a410d70ba0c8190bdcab9e762c92884`	completed	June 28, 2026, 12:02 p.m.
NED2	Entity disambiguation (via description)	`batch_6a410e3dd828819099fc3a413bcfbeb9`	completed	June 28, 2026, 12:06 p.m.
PD	Predicate disambiguation	`batch_69fe1358db5c819092570814a37ef5bd`	completed	May 8, 2026, 4:46 p.m.

Created at: May 3, 2026, 4:19 p.m.