Triple

T28334279
Position Surface form Disambiguated ID Type / Status
Subject Princess Feodora of Leiningen E717621 entity
Predicate child P120 FINISHED
Object Princess Elise of Hohenlohe-Langenburg
Princess Elise of Hohenlohe-Langenburg was a 19th-century German noblewoman from the House of Hohenlohe-Langenburg and a niece of Queen Victoria through her mother, Princess Feodora of Leiningen.
E2294106 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 Elise of Hohenlohe-Langenburg | Statement: [Princess Feodora of Leiningen, child, Princess Elise of Hohenlohe-Langenburg]
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 Elise of Hohenlohe-Langenburg
Triple: [Princess Feodora of Leiningen, child, Princess Elise of Hohenlohe-Langenburg]
Generated description
Princess Elise of Hohenlohe-Langenburg was a 19th-century German noblewoman from the House of Hohenlohe-Langenburg and a niece of Queen Victoria through her mother, Princess Feodora of Leiningen.

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_69eff6e9a57c8190a69c2c74b5d72119 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64bd3f9288190ad68a1b7e7b0a76d completed May 2, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7b7d580de48190a2c947e9a1f389c6 completed Aug. 11, 2026, 7:51 p.m.
NEDg Description generation batch_6a7b7da68808819088a83f6650c00f58 completed Aug. 11, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_6a7b7e43259c8190baca0fa0b5572318 completed Aug. 11, 2026, 7:55 p.m.
Created at: April 28, 2026, 12:34 a.m.