Triple

T38015552
Position Surface form Disambiguated ID Type / Status
Subject Thomas Arnold E948487 entity
Predicate notableWork P4 FINISHED
Object Lectures on Modern History
Lectures on Modern History is a posthumously published collection of historical lectures by the influential English educator and historian Thomas Arnold, reflecting his liberal Christian and moral approach to interpreting European history.
E2253688 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: Lectures on Modern History | Statement: [Thomas Arnold, notableWork, Lectures on Modern History]
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: Lectures on Modern History
Triple: [Thomas Arnold, notableWork, Lectures on Modern History]
Generated description
Lectures on Modern History is a posthumously published collection of historical lectures by the influential English educator and historian Thomas Arnold, reflecting his liberal Christian and moral approach to interpreting European history.

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_69f76efc10448190aff5fb566b98f952 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc96b20d48190aa0a1ccf2341faca completed May 6, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41543764f88190a53a9f985ea67d4f completed June 28, 2026, 5:04 p.m.
NEDg Description generation batch_6a41564311288190ad9b0507208d42aa completed June 28, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_6a4156d3f78c8190a47fefb7ad24b221 completed June 28, 2026, 5:16 p.m.
Created at: May 3, 2026, 4:20 p.m.