Triple

T32902560

Position	Surface form	Disambiguated ID	Type / Status
Subject	Vienna version	`E841649`	entity
Predicate	hasRevisedDramaturgyComparedTo	`P35338`	FINISHED
Object	Dresden version The Dresden version is a notable alternate edition of a musical or operatic work distinguished by its original, less revised dramaturgical structure compared to the later Vienna version.	`E2029604`	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: Dresden version | Statement: [Vienna version, hasRevisedDramaturgyComparedTo, Dresden version]

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: Dresden version
Triple: [Vienna version, hasRevisedDramaturgyComparedTo, Dresden version]

Generated description

The Dresden version is a notable alternate edition of a musical or operatic work distinguished by its original, less revised dramaturgical structure compared to the later Vienna version.

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

Target predicate: hasRevisedDramaturgyComparedTo
Context triple: [Vienna version, hasRevisedDramaturgyComparedTo, Dresden version]

A. revisedForTheatre
Indicates that a work has been adapted or modified specifically for performance in a theatrical setting.
B. hasChoreographicRevisionsBy
Indicates that a work’s choreography has been revised or altered by a specified person or entity.
C. revisedPremiereTheatre
Indicates that an entity has updated or altered the initial theatrical premiere of another entity (such as a film, play, or performance).
D. revisionOf chosen
Indicates that one entity is a modified or updated version of another earlier entity.
E. basedOnLibrettoRevisionBy
Indicates that something (typically a musical or operatic work or version) is derived from or created using a revised form of a libretto produced by a specified reviser.
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_69f34946a5208190bbd79f0fec4323bd`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_6a0324c2d618819093f7e6424b0f5baf`	completed	May 12, 2026, 1:01 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34d258c74881908a496ac0b5f852fe`	completed	June 19, 2026, 5:23 a.m.
NEDg	Description generation	`batch_6a34d32a229481909a407bea93892806`	completed	June 19, 2026, 5:27 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34d3ab5e98819091f34300bf83621d`	completed	June 19, 2026, 5:29 a.m.
PD	Predicate disambiguation	`batch_6a0324292e588190b37d0c3016ea2062`	completed	May 12, 2026, 12:59 p.m.

Created at: May 1, 2026, 1:19 a.m.