Triple

T37431942
Position Surface form Disambiguated ID Type / Status
Subject The Green Table E930163 entity
Predicate hasChoreographicReconstructionBy P199241 FINISHED
Object Anna Markard
Anna Markard was a German dancer and choreographer known for reconstructing and preserving the works of her father, expressionist choreographer Kurt Jooss.
E2242649 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: Anna Markard | Statement: [The Green Table, hasChoreographicReconstructionBy, Anna Markard]
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: Anna Markard
Triple: [The Green Table, hasChoreographicReconstructionBy, Anna Markard]
Generated description
Anna Markard was a German dancer and choreographer known for reconstructing and preserving the works of her father, expressionist choreographer Kurt Jooss.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChoreographicReconstructionBy
Context triple: [The Green Table, hasChoreographicReconstructionBy, Anna Markard]
  • A. hasChoreographicSignatureOf
    Indicates that something (such as a performance or movement sequence) bears the distinctive choreographic style, authorship, or creative imprint of a particular choreographer.
  • B. hasChoreographicCharacteristics
    Indicates that something possesses specific features, qualities, or attributes related to choreography or choreographic style.
  • C. hasChoreographicRevisionsBy
    Indicates that a work’s choreography has been revised or altered by a specified person or entity.
  • D. hasChoreographyBasedOn
    Indicates that one choreography is derived from, inspired by, or structured according to another existing work or source.
  • E. hasChoreographicLegacy
    Indicates that one entity has a lasting influence or recognized heritage in choreography that is derived from or shaped by another entity.
  • F. None of above. chosen

Provenance (7 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_69f76ebfdcb8819098562ff3db673b04 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff27b125948190aced0fe0189fd39a completed May 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40e0631b0c8190bec5bbc76d8e5235 completed June 28, 2026, 8:50 a.m.
NEDg Description generation batch_6a40e347383881909e67d067eba24587 completed June 28, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_6a40e7c6a0a481909650194c5b2c37f8 completed June 28, 2026, 9:22 a.m.
PD Predicate disambiguation batch_69ff26c30a0481909ef6a54ded851e42 completed May 9, 2026, 12:21 p.m.
PDg Predicate description generation batch_69ff27b0385c8190bccf340d26268f77 completed May 9, 2026, 12:25 p.m.
Created at: May 3, 2026, 4:17 p.m.