Triple

T25112480
Position Surface form Disambiguated ID Type / Status
Subject John Nicholas Brown I E629033 entity
Predicate memberOf P10 FINISHED
Object Brown family
The Brown family is a prominent American dynasty from Rhode Island known for its significant influence in business, politics, philanthropy, and the founding and endowment 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 Nicholas Brown I, memberOf, 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 Nicholas Brown I, memberOf, Brown family]
Generated description
The Brown family is a prominent American dynasty from Rhode Island known for its significant influence in business, politics, philanthropy, and the founding and endowment 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_69e2ff3169d08190973b6061d5009abd completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f46577989081909278965a9844ebad completed May 1, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a110742659481909d5be24291afb417 completed May 23, 2026, 1:47 a.m.
NEDg Description generation batch_6a11095d758081908c89cf2a23c09200 completed May 23, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_6a1109bfbd98819083c80056eb190bc4 completed May 23, 2026, 1:58 a.m.
Created at: April 18, 2026, 6:27 a.m.