Triple

T20216135
Position Surface form Disambiguated ID Type / Status
Subject Peabody Education Fund E495128 entity
Predicate boardMember P8802 FINISHED
Object George N. Eaton
George N. Eaton was an American educator and administrator who served on the governing board of the Peabody Education Fund, a major post–Civil War philanthropic effort to support public education in the Southern United States.
E2286460 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: George N. Eaton | Statement: [Peabody Education Fund, boardMember, George N. Eaton]
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: George N. Eaton
Triple: [Peabody Education Fund, boardMember, George N. Eaton]
Generated description
George N. Eaton was an American educator and administrator who served on the governing board of the Peabody Education Fund, a major post–Civil War philanthropic effort to support public education in the Southern United States.

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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8cc8c8190889ecadc702010d8 completed April 20, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a46b86118408190bb0fa8ca951236d3 completed July 2, 2026, 7:13 p.m.
NEDg Description generation batch_6a46b8e5c5188190b49f4a72402624ad completed July 2, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a46b9a584448190b59616e60779ec6a completed July 2, 2026, 7:19 p.m.
Created at: April 11, 2026, 11:38 p.m.