Triple

T37535112
Position Surface form Disambiguated ID Type / Status
Subject Earl of Moray E933173 entity
Predicate hasTitleHolder P1911 FINISHED
Object Francis Stuart, 15th Earl of Moray
Francis Stuart, 15th Earl of Moray, was a Scottish nobleman who held a historic peerage title in the Peerage of Scotland during the 19th and early 20th centuries.
E2249186 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: Francis Stuart, 15th Earl of Moray | Statement: [Earl of Moray, hasTitleHolder, Francis Stuart, 15th Earl of Moray]
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: Francis Stuart, 15th Earl of Moray
Triple: [Earl of Moray, hasTitleHolder, Francis Stuart, 15th Earl of Moray]
Generated description
Francis Stuart, 15th Earl of Moray, was a Scottish nobleman who held a historic peerage title in the Peerage of Scotland during the 19th and early 20th centuries.

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_69f76ec999288190ae26ec7b6aea7046 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba3f9af308190ad7f92c2c2bd9114 completed May 6, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4117d934b08190bef3d53677233f3e completed June 28, 2026, 12:47 p.m.
NEDg Description generation batch_6a4118749ab08190b26f7cac71569789 completed June 28, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_6a4119ee31c88190b3905912affd2620 completed June 28, 2026, 12:56 p.m.
Created at: May 3, 2026, 4:17 p.m.