Triple

T24688724
Position Surface form Disambiguated ID Type / Status
Subject Viscount Dalrymple E611370 entity
Predicate associatedWith P37 FINISHED
Object Earldom of Stair
The Earldom of Stair is a Scottish peerage title historically held by the Dalrymple family, prominent in law and politics since the late 17th century.
 E1648730 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: Earldom of Stair | Statement: [Viscount Dalrymple, associatedWith, Earldom of Stair]
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: Earldom of Stair
Triple: [Viscount Dalrymple, associatedWith, Earldom of Stair]
Generated description
The Earldom of Stair is a Scottish peerage title historically held by the Dalrymple family, prominent in law and politics since the late 17th century.

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_69e2c4d678b081908910f4271627a31a completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40fc75ec081909b4f848a551bd037 completed May 1, 2026, 2:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10100038cc8190a91c3eb67a3bd36f completed May 22, 2026, 8:12 a.m.
NEDg Description generation batch_6a10136aa8948190b19d212e087b3f35 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a1015013f6c8190be31319e5c05c3f4 completed May 22, 2026, 8:34 a.m.
Created at: April 18, 2026, 3:19 a.m.