Triple

T38024701
Position Surface form Disambiguated ID Type / Status
Subject Princess Désirée of Sweden E948737 entity
Predicate cousin P1999 FINISHED
Object Queen Benedikte of Denmark
Queen Benedikte of Denmark is a Danish princess and member of the Danish royal family, known as the younger sister of Queen Margrethe II and for her extensive charitable and ceremonial work.
E2254543 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: Queen Benedikte of Denmark | Statement: [Princess Désirée of Sweden, cousin, Queen Benedikte of Denmark]
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: Queen Benedikte of Denmark
Triple: [Princess Désirée of Sweden, cousin, Queen Benedikte of Denmark]
Generated description
Queen Benedikte of Denmark is a Danish princess and member of the Danish royal family, known as the younger sister of Queen Margrethe II and for her extensive charitable and ceremonial work.

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_69f76efd1bc48190a729097fe5177b61 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc97398d481909afc0b73753c4c7f completed May 6, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a415d2c749c8190a820541b3ea2203e completed June 28, 2026, 5:43 p.m.
NEDg Description generation batch_6a415de6354c8190b728481c8b9b7544 completed June 28, 2026, 5:46 p.m.
NED2 Entity disambiguation (via description) batch_6a415f4dfcf4819080739f521d4af061 completed June 28, 2026, 5:52 p.m.
Created at: May 3, 2026, 4:20 p.m.