Triple

T30850512
Position Surface form Disambiguated ID Type / Status
Subject Wilmot Vaughan, 1st Earl of Lisburne E785765 entity
Predicate child P120 FINISHED
Object Wilmot Vaughan, 2nd Earl of Lisburne
Wilmot Vaughan, 2nd Earl of Lisburne, was an 18th-century Welsh nobleman and politician who sat in the British House of Commons for many years before inheriting his earldom.
 E1935865 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: Wilmot Vaughan, 2nd Earl of Lisburne | Statement: [Wilmot Vaughan, 1st Earl of Lisburne, child, Wilmot Vaughan, 2nd Earl of Lisburne]
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: Wilmot Vaughan, 2nd Earl of Lisburne
Triple: [Wilmot Vaughan, 1st Earl of Lisburne, child, Wilmot Vaughan, 2nd Earl of Lisburne]
Generated description
Wilmot Vaughan, 2nd Earl of Lisburne, was an 18th-century Welsh nobleman and politician who sat in the British House of Commons for many years before inheriting his earldom.

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_69f224b850848190a4af4ccf8ddadcdf completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6917b68108190a29980ebda0a62c9 completed May 3, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28c7ceaca48190905652a241fe355d completed June 10, 2026, 2:11 a.m.
NEDg Description generation batch_6a28cb8b39408190975ecbac0c8f0d15 completed June 10, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_6a28cc7003c081908373122f59284b68 completed June 10, 2026, 2:31 a.m.
Created at: April 29, 2026, 8:46 p.m.