Triple

T31659783
Position Surface form Disambiguated ID Type / Status
Subject Edward Gibbon Wakefield E807966 entity
Predicate sibling P363 FINISHED
Object William Wakefield
William Wakefield was a 19th-century British colonist and key figure in the early European settlement and land acquisition efforts in New Zealand, particularly around Wellington.
E1973366 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 Wakefield | Statement: [Edward Gibbon Wakefield, sibling, William Wakefield]
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 Wakefield
Triple: [Edward Gibbon Wakefield, sibling, William Wakefield]
Generated description
William Wakefield was a 19th-century British colonist and key figure in the early European settlement and land acquisition efforts in New Zealand, particularly around Wellington.

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_69f348daf95c81908b4c985b7ddcd0b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aa2402c081909b99cd5be5373eda completed May 3, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b84b0ca388190bdc871911c3602bb completed June 12, 2026, 4:01 a.m.
NEDg Description generation batch_6a2b857dd8708190984e04b26d63e120 completed June 12, 2026, 4:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2b8682a4a8819097f791a41a5c6274 completed June 12, 2026, 4:09 a.m.
Created at: April 30, 2026, 10:56 p.m.