Triple

T26245641
Position Surface form Disambiguated ID Type / Status
Subject John Brown House E656434 entity
Predicate associatedWith P37 FINISHED
Object Brown family
The Brown family was a prominent and wealthy mercantile and political dynasty in colonial and early American Rhode Island, influential in trade, education, and the founding of Brown University.
 E1704385 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: Brown family | Statement: [John Brown House, associatedWith, Brown family]
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: Brown family
Triple: [John Brown House, associatedWith, Brown family]
Generated description
The Brown family was a prominent and wealthy mercantile and political dynasty in colonial and early American Rhode Island, influential in trade, education, and the founding of Brown University.

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_69ee5b4c59a881909d9ee4fd013fffd5 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f60dc5cbc48190952960eeab21cc9f completed May 2, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c7ad6588190bf50cf27cd148451 completed May 24, 2026, 6:36 a.m.
NEDg Description generation batch_6a129d8d0cec8190866152cb9edfefe7 completed May 24, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_6a129e0f2dc081909e404f6c9fcd3b0b completed May 24, 2026, 6:43 a.m.
Created at: April 26, 2026, 9:05 p.m.