Triple

T33793303
Position Surface form Disambiguated ID Type / Status
Subject Tilly Losch E865994 entity
Predicate birthName P65 FINISHED
Object Ottilie Ethel Leopoldine Losch
Ottilie Ethel Leopoldine Losch, better known as Tilly Losch, was an Austrian-born dancer, choreographer, and actress celebrated for her innovative work on stage and in film during the early 20th century.
E2067102 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: Ottilie Ethel Leopoldine Losch | Statement: [Tilly Losch, birthName, Ottilie Ethel Leopoldine Losch]
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: Ottilie Ethel Leopoldine Losch
Triple: [Tilly Losch, birthName, Ottilie Ethel Leopoldine Losch]
Generated description
Ottilie Ethel Leopoldine Losch, better known as Tilly Losch, was an Austrian-born dancer, choreographer, and actress celebrated for her innovative work on stage and in film during the early 20th century.

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_69f3498f99f481909cb271f4965a7594 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ff3f5d288190b9280c5801581fc4 completed May 3, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a366591a1608190ba9b43694d4abbe1 completed June 20, 2026, 10:04 a.m.
NEDg Description generation batch_6a366626e0708190b7b11d854a951965 completed June 20, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a3666c1d1b881908654acaa4b5898ec completed June 20, 2026, 10:09 a.m.
Created at: May 1, 2026, 1:45 a.m.