Triple

T36362306
Position Surface form Disambiguated ID Type / Status
Subject Beatrice of Savoy E895526 entity
Predicate sibling P363 FINISHED
Object Eleanor of Savoy
Eleanor of Savoy was a 13th-century noblewoman of the House of Savoy, known primarily as one of the politically connected daughters of Count Thomas I of Savoy who married into European aristocracy.
E2264237 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: Eleanor of Savoy | Statement: [Beatrice of Savoy, sibling, Eleanor of Savoy]
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: Eleanor of Savoy
Triple: [Beatrice of Savoy, sibling, Eleanor of Savoy]
Generated description
Eleanor of Savoy was a 13th-century noblewoman of the House of Savoy, known primarily as one of the politically connected daughters of Count Thomas I of Savoy who married into European aristocracy.

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_69f76e5044248190b390d8887dc03254 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7baca106c8190a275622686aac155 completed May 3, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a419ddd6d848190a6c09810f7d028a8 completed June 28, 2026, 10:19 p.m.
NEDg Description generation batch_6a419f2252288190a5c82877f6e06af7 completed June 28, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_6a419fc808308190a4b9f96e219b9d82 completed June 28, 2026, 10:27 p.m.
Created at: May 3, 2026, 4:09 p.m.