Triple

T31844476
Position Surface form Disambiguated ID Type / Status
Subject Buckland E812898 entity
Predicate hasNotableBearer P458 FINISHED
Object William Francis Buckland
William Francis Buckland was a 19th-century English clergyman and naturalist known for his work in geology and paleontology, as well as for his eccentric personality and unconventional scientific methods.
 E1987322 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: William Francis Buckland | Statement: [Buckland, hasNotableBearer, William Francis Buckland]
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: William Francis Buckland
Triple: [Buckland, hasNotableBearer, William Francis Buckland]
Generated description
William Francis Buckland was a 19th-century English clergyman and naturalist known for his work in geology and paleontology, as well as for his eccentric personality and unconventional scientific methods.

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_69f348eb327881909b4584b925742f6e completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b034bc74819091250f91ba5174c0 completed May 3, 2026, 2:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e87ca0188190b579205586ff1d14 completed June 18, 2026, 12:45 p.m.
NEDg Description generation batch_6a33e954d89881908ea05c9e466780fa completed June 18, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_6a342c695e348190957d2cf24a4bc080 completed June 18, 2026, 5:35 p.m.
Created at: April 30, 2026, 11:50 p.m.