Triple

T24477851
Position Surface form Disambiguated ID Type / Status
Subject Katherine Dunham Dance Company E617280 entity
Predicate hasMember P10 FINISHED
Object Lenwood Morris
Lenwood Morris is a dancer known for performing with the influential Katherine Dunham Dance Company, a pioneering force in modern dance and African diaspora choreography.
E1686946 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: Lenwood Morris | Statement: [Katherine Dunham Dance Company, hasMember, Lenwood Morris]
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: Lenwood Morris
Triple: [Katherine Dunham Dance Company, hasMember, Lenwood Morris]
Generated description
Lenwood Morris is a dancer known for performing with the influential Katherine Dunham Dance Company, a pioneering force in modern dance and African diaspora choreography.

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_69e2d7f3ae788190b683394db15f220e completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29ed313a08190b745e89fe1c6cf55 completed April 30, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10b6fca5ec8190b279806d28814da2 completed May 22, 2026, 8:05 p.m.
NEDg Description generation batch_6a10b7fa6d60819097ff930865af4032 completed May 22, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_6a10b9651af481909206495b2fc57a2e completed May 22, 2026, 8:15 p.m.
Created at: April 18, 2026, 2:21 a.m.