Triple

T27917506
Position Surface form Disambiguated ID Type / Status
Subject Woodfordia E706112 entity
Predicate namedAfter P63 FINISHED
Object Charles Morris Woodford
Charles Morris Woodford was a British naturalist and colonial administrator best known for his exploration and governance of the Solomon Islands in the late 19th and early 20th centuries.
E1793309 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: Charles Morris Woodford | Statement: [Woodfordia, namedAfter, Charles Morris Woodford]
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: Charles Morris Woodford
Triple: [Woodfordia, namedAfter, Charles Morris Woodford]
Generated description
Charles Morris Woodford was a British naturalist and colonial administrator best known for his exploration and governance of the Solomon Islands in the late 19th and early 20th centuries.

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_69ef96b6cc808190aab19fb18b235f4b completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63a2cdaf881908f0e090f944c8a15 completed May 2, 2026, 5:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a130372a6b48190bd3c04b3e6f6e4d2 completed May 24, 2026, 1:56 p.m.
NEDg Description generation batch_6a1303e852488190ad34cae264ed7752 completed May 24, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a130498a5748190bf5560d2cc95f478 completed May 24, 2026, 2 p.m.
Created at: April 27, 2026, 6:54 p.m.