Triple

T30810488
Position Surface form Disambiguated ID Type / Status
Subject Earl of Erroll E784630 entity
Predicate hasTitleNumbering P7922 FINISHED
Object 15th Earl of Erroll
The 15th Earl of Erroll was a Scottish nobleman and hereditary Lord High Constable of Scotland, belonging to the long-established Hay family of the Scottish peerage.
E2095104 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: 15th Earl of Erroll | Statement: [Earl of Erroll, hasTitleNumbering, 15th Earl of Erroll]
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: 15th Earl of Erroll
Triple: [Earl of Erroll, hasTitleNumbering, 15th Earl of Erroll]
Generated description
The 15th Earl of Erroll was a Scottish nobleman and hereditary Lord High Constable of Scotland, belonging to the long-established Hay family of the Scottish peerage.

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_69f224b4eda48190bd212ce4f3901e56 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69063edbc81909e7735954aabee0b completed May 3, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a370d9c5cbc8190b723225870d53430 completed June 20, 2026, 10:01 p.m.
NEDg Description generation batch_6a370e0b0aa48190b90fc81dcae939a3 completed June 20, 2026, 10:02 p.m.
NED2 Entity disambiguation (via description) batch_6a370e86b49c819095d85125ac8a3780 completed June 20, 2026, 10:04 p.m.
Created at: April 29, 2026, 8:43 p.m.