Triple

T30957975
Position Surface form Disambiguated ID Type / Status
Subject John Fortescue (c. 1394–c. 1479) E788728 entity
Predicate notableWork P4 FINISHED
Object De Laudibus Legum Angliae
De Laudibus Legum Angliae is a 15th-century treatise by Sir John Fortescue that praises and systematically explains the principles and institutions of English common law.
 E1940438 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: De Laudibus Legum Angliae | Statement: [John Fortescue (c. 1394–c. 1479), notableWork, De Laudibus Legum Angliae]
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: De Laudibus Legum Angliae
Triple: [John Fortescue (c. 1394–c. 1479), notableWork, De Laudibus Legum Angliae]
Generated description
De Laudibus Legum Angliae is a 15th-century treatise by Sir John Fortescue that praises and systematically explains the principles and institutions of English common law.

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_69f224c28c1881908c33b45d689f1724 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6934ac07c8190b85541dc38e19a23 completed May 3, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28fbaf59988190b4973c3ae7dd9b13 completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28fc4803108190abbd7012f4736854 completed June 10, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_6a28fcf2bad08190ac49847b725fc2c8 completed June 10, 2026, 5:58 a.m.
Created at: April 29, 2026, 8:54 p.m.