Triple

T35763455
Position Surface form Disambiguated ID Type / Status
Subject Patrick Lyon, 1st Earl of Strathmore and Kinghorne E1033942 entity
Predicate child P120 FINISHED
Object Patrick Lyon
Patrick Lyon was a Scottish nobleman of the Lyon family who held the title of Earl of Strathmore and Kinghorne in the peerage of Scotland.
E2154658 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: Patrick Lyon | Statement: [Patrick Lyon, 1st Earl of Strathmore and Kinghorne, child, Patrick Lyon]
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: Patrick Lyon
Triple: [Patrick Lyon, 1st Earl of Strathmore and Kinghorne, child, Patrick Lyon]
Generated description
Patrick Lyon was a Scottish nobleman of the Lyon family who held the title of Earl of Strathmore and Kinghorne in the peerage of Scotland.

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_69f76e13edd081909101629aa829c4ad completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a1c61e248190ab11908163d6f26c completed May 3, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885fc02cc8190abbc649706e5c4a4 completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a3887948e148190873b6efc5735127b completed June 22, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_6a388849bf348190ba71468323566c56 completed June 22, 2026, 12:56 a.m.
Created at: May 3, 2026, 4:06 p.m.