Triple

T24776514
Position Surface form Disambiguated ID Type / Status
Subject Davidia involucrata E619875 entity
Predicate describedBy P264 FINISHED
Object Ernest Henry Wilson
Ernest Henry Wilson was a prominent early 20th-century British plant collector and botanist renowned for introducing many important Asian ornamental plants to Western horticulture.
E1650904 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: Ernest Henry Wilson | Statement: [Davidia involucrata, describedBy, Ernest Henry Wilson]
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: Ernest Henry Wilson
Triple: [Davidia involucrata, describedBy, Ernest Henry Wilson]
Generated description
Ernest Henry Wilson was a prominent early 20th-century British plant collector and botanist renowned for introducing many important Asian ornamental plants to Western horticulture.

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_69e2fabd04488190a2d13c97be745a2d completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410d320c88190b6bca2c68cb01194 completed May 1, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c1ceba4819089fb250980bf2424 completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a10248751648190aabfa72ad8ab0b3f completed May 22, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_6a102586c1288190bf8eeb513537b189 completed May 22, 2026, 9:44 a.m.
Created at: April 18, 2026, 4:34 a.m.