Triple

T30305593
Position Surface form Disambiguated ID Type / Status
Subject Peregrine Hyde Osborne E770771 entity
Predicate child P120 FINISHED
Object Thomas Osborne, 4th Duke of Leeds
Thomas Osborne, 4th Duke of Leeds was an 18th-century British peer and politician who held high offices at court and in government, continuing the prominent Osborne family’s aristocratic legacy.
E1919719 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: Thomas Osborne, 4th Duke of Leeds | Statement: [Peregrine Hyde Osborne, child, Thomas Osborne, 4th Duke of Leeds]
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: Thomas Osborne, 4th Duke of Leeds
Triple: [Peregrine Hyde Osborne, child, Thomas Osborne, 4th Duke of Leeds]
Generated description
Thomas Osborne, 4th Duke of Leeds was an 18th-century British peer and politician who held high offices at court and in government, continuing the prominent Osborne family’s aristocratic legacy.

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_69f224881b948190b8c4921b250a44a3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6816751548190b70eda0dd55be32d completed May 2, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be56189881909f39ceb53d896813 completed June 9, 2026, 7:18 a.m.
NEDg Description generation batch_6a27c20e6b008190a55cb5dd4e871444 completed June 9, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a27c2947728819089fdde291cc9887c completed June 9, 2026, 7:36 a.m.
Created at: April 29, 2026, 7:49 p.m.