Triple

T24164720
Position Surface form Disambiguated ID Type / Status
Subject Nathaniel Woodard E598939 entity
Predicate hasPart P35 FINISHED
Object Hurstpierpoint College
Hurstpierpoint College is an independent co-educational day and boarding school in West Sussex, England, founded in the 19th century as part of Nathaniel Woodard’s group of Anglican schools.
E1620472 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: Hurstpierpoint College | Statement: [Nathaniel Woodard, hasPart, Hurstpierpoint College]
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: Hurstpierpoint College
Triple: [Nathaniel Woodard, hasPart, Hurstpierpoint College]
Generated description
Hurstpierpoint College is an independent co-educational day and boarding school in West Sussex, England, founded in the 19th century as part of Nathaniel Woodard’s group of Anglican schools.

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_69e288cbd62881909de32ca64a70c17b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e175adbc81908dbca8af082fd0a6 completed April 29, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad37a744819094e0b4f2cbbfa330 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae4aa5e08190aa6dbcbd7cedcbdc completed May 22, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0faee66d088190aa2b09143548b11b completed May 22, 2026, 1:18 a.m.
Created at: April 17, 2026, 11:32 p.m.