Triple

T17787747
Position Surface form Disambiguated ID Type / Status
Subject Princess Helena of Waldeck and Pyrmont E444063 entity
Predicate title P38 FINISHED
Object Princess of Waldeck and Pyrmont
Princess of Waldeck and Pyrmont was a noble title held by female members of the German princely House of Waldeck and Pyrmont, associated with the small historical principality in present-day Germany.
E1210546 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: Princess of Waldeck and Pyrmont | Statement: [Princess Helena of Waldeck and Pyrmont, title, Princess of Waldeck and Pyrmont]
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: Princess of Waldeck and Pyrmont
Triple: [Princess Helena of Waldeck and Pyrmont, title, Princess of Waldeck and Pyrmont]
Generated description
Princess of Waldeck and Pyrmont was a noble title held by female members of the German princely House of Waldeck and Pyrmont, associated with the small historical principality in present-day Germany.

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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48794542c8190b049bce6e28c9f3a completed April 19, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e3417248190b6d2f9d80e26dbc1 completed May 21, 2026, 9:50 p.m.
NEDg Description generation batch_6a0f7f4ce09081908de47029b8ffc097 completed May 21, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7fe7f7248190a377212661dd56b1 completed May 21, 2026, 9:58 p.m.
Created at: April 10, 2026, 10:12 a.m.