Triple

T30138593
Position Surface form Disambiguated ID Type / Status
Subject Trisha Brown E766065 entity
Predicate notableWork P4 FINISHED
Object Walking on the Wall
"Walking on the Wall" is a pioneering 1971 site-specific dance piece by choreographer Trisha Brown in which performers, suspended in harnesses, traverse gallery walls horizontally, challenging conventional perceptions of gravity and movement.
 E1901304 NE FINISHED

How this triple was built (2 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: Walking on the Wall | Statement: [Trisha Brown, notableWork, Walking on the Wall]
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: Walking on the Wall
Triple: [Trisha Brown, notableWork, Walking on the Wall]
Generated description
"Walking on the Wall" is a pioneering 1971 site-specific dance piece by choreographer Trisha Brown in which performers, suspended in harnesses, traverse gallery walls horizontally, challenging conventional perceptions of gravity and movement.

Provenance (5 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_69f2247909048190ae86c2160cf8b566 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67e4dfe588190991b0f75728af132 completed May 2, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274cb693588190b14877aeda04e4cf completed June 8, 2026, 11:13 p.m.
NEDg Description generation batch_6a274db4d6a88190a6c3cfbb05fa7320 completed June 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a274e674bbc8190a88d0e74b663574a completed June 8, 2026, 11:21 p.m.
Created at: April 29, 2026, 7:17 p.m.