Triple

T14902704
Position Surface form Disambiguated ID Type / Status
Subject Washburn A Mill E360046 entity
Predicate developedBy P73 FINISHED
Object Cadwallader C. Washburn
Cadwallader C. Washburn was a 19th-century American industrialist, Civil War general, and politician who co-founded what became General Mills and helped transform the flour milling industry.
E1851133 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: Cadwallader C. Washburn | Statement: [Washburn A Mill, developedBy, Cadwallader C. Washburn]
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: Cadwallader C. Washburn
Triple: [Washburn A Mill, developedBy, Cadwallader C. Washburn]
Generated description
Cadwallader C. Washburn was a 19th-century American industrialist, Civil War general, and politician who co-founded what became General Mills and helped transform the flour milling industry.

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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a25377b44bc81909ec4c1952d8cfad0 completed June 7, 2026, 9:18 a.m.
NEDg Description generation batch_6a253bdcaf2c8190b24d33e76d6efc78 completed June 7, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_6a253fd1f0488190abea40d50e953b04 completed June 7, 2026, 9:54 a.m.
Created at: April 10, 2026, 2:11 a.m.