Triple

T19578032
Position Surface form Disambiguated ID Type / Status
Subject Avro Canada CF-105 Arrow E489911 entity
Predicate designedBy P184 FINISHED
Object James C. Floyd
James C. Floyd was a British-Canadian aeronautical engineer best known as the chief designer behind several advanced Avro Canada aircraft, including the pioneering CF-105 Arrow interceptor.
E1662588 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: James C. Floyd | Statement: [Avro Canada CF-105 Arrow, designedBy, James C. Floyd]
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: James C. Floyd
Triple: [Avro Canada CF-105 Arrow, designedBy, James C. Floyd]
Generated description
James C. Floyd was a British-Canadian aeronautical engineer best known as the chief designer behind several advanced Avro Canada aircraft, including the pioneering CF-105 Arrow interceptor.

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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64025d5d081909dbb0c079d366006 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10485ba70c819092ab75db8a67dceb completed May 22, 2026, 12:13 p.m.
NEDg Description generation batch_6a104a2a89e08190aa35e97ffb57fc9a completed May 22, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a104bbb9b6c81908fcc21c8c027b9de completed May 22, 2026, 12:27 p.m.
Created at: April 10, 2026, 1:42 p.m.