Triple

T31503841
Position Surface form Disambiguated ID Type / Status
Subject House of Leiningen E803760 entity
Predicate hasMember P10 FINISHED
Object Prince Karl Emich of Leiningen
Prince Karl Emich of Leiningen is a German aristocrat and businessman known for his disputed claims to the Russian throne and involvement in monarchist and micronational projects.
E2054033 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: Prince Karl Emich of Leiningen | Statement: [House of Leiningen, hasMember, Prince Karl Emich of Leiningen]
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: Prince Karl Emich of Leiningen
Triple: [House of Leiningen, hasMember, Prince Karl Emich of Leiningen]
Generated description
Prince Karl Emich of Leiningen is a German aristocrat and businessman known for his disputed claims to the Russian throne and involvement in monarchist and micronational projects.

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_69f348cae52081909fa8e5f697523ae3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a214a24481908d30547f6d36aabe completed May 3, 2026, 1:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3595856ed08190a460408bf5378450 completed June 19, 2026, 7:16 p.m.
NEDg Description generation batch_6a359ccc93c88190876557286e78ca7c completed June 19, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_6a359d4f9de881908c102c524e6dd7ad completed June 19, 2026, 7:49 p.m.
Created at: April 30, 2026, 9:46 p.m.