Triple

T29581773
Position Surface form Disambiguated ID Type / Status
Subject Andrew Jackson's Kitchen Cabinet E753606 entity
Predicate hasCause P708 FINISHED
Object Eaton affair
The Eaton affair was a 19th-century Washington social scandal involving the wife of President Andrew Jackson’s Secretary of War, which deeply divided his administration and reshaped his inner circle of advisers.
E1875565 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: Eaton affair | Statement: [Andrew Jackson's Kitchen Cabinet, hasCause, Eaton affair]
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: Eaton affair
Triple: [Andrew Jackson's Kitchen Cabinet, hasCause, Eaton affair]
Generated description
The Eaton affair was a 19th-century Washington social scandal involving the wife of President Andrew Jackson’s Secretary of War, which deeply divided his administration and reshaped his inner circle of advisers.

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_69f0ef80bf8c8190ad286e99f7df0c63 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66d7a4460819092b22b56609cc7ed completed May 2, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a262d74b2f88190a387a0cd7b506b03 completed June 8, 2026, 2:48 a.m.
NEDg Description generation batch_6a26318fba948190a7676b94a96e2385 completed June 8, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2635ad095481909c2fbed70b7a5f4c completed June 8, 2026, 3:23 a.m.
Created at: April 28, 2026, 6:07 p.m.