Triple

T29283989
Position Surface form Disambiguated ID Type / Status
Subject Royal Danish Ballet E742457 entity
Predicate hasNotableDancerAlumni P17435 FINISHED
Object Nikolaj Hübbe
Nikolaj Hübbe is a renowned Danish ballet dancer and artistic director, best known for his long career as a principal at the New York City Ballet and later leadership of the Royal Danish Ballet.
E1864358 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: Nikolaj Hübbe | Statement: [Royal Danish Ballet, hasNotableDancerAlumni, Nikolaj Hübbe]
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: Nikolaj Hübbe
Triple: [Royal Danish Ballet, hasNotableDancerAlumni, Nikolaj Hübbe]
Generated description
Nikolaj Hübbe is a renowned Danish ballet dancer and artistic director, best known for his long career as a principal at the New York City Ballet and later leadership of the Royal Danish Ballet.

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_69f09121ed8c8190b4cb27be3619c262 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69ffa42b98888190872230cf3ee49110 completed May 9, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25c0e1f7f4819092ec53a0be043d21 completed June 7, 2026, 7:05 p.m.
NEDg Description generation batch_6a25c6138fac819094ef0f14303f75f9 completed June 7, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_6a25c9ef476481908009305d31b9ca58 completed June 7, 2026, 7:43 p.m.
Created at: April 28, 2026, 12:56 p.m.