Triple

T33733010
Position Surface form Disambiguated ID Type / Status
Subject Brown family E864324 entity
Predicate hasNotableMember P304 FINISHED
Object John Young Brown Jr.
John Young Brown Jr. was an American businessman and politician best known for co-owning Kentucky Fried Chicken and serving as the Governor of Kentucky from 1979 to 1983.
 E2101401 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: John Young Brown Jr. | Statement: [Brown family, hasNotableMember, John Young Brown Jr.]
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: John Young Brown Jr.
Triple: [Brown family, hasNotableMember, John Young Brown Jr.]
Generated description
John Young Brown Jr. was an American businessman and politician best known for co-owning Kentucky Fried Chicken and serving as the Governor of Kentucky from 1979 to 1983.

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_69f3498a64cc8190b4b414c67b280d93 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fb1fcda08190a503098914ba09ab completed May 3, 2026, 7:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a373602cf688190bc30131f7e8f9481 completed June 21, 2026, 12:53 a.m.
NEDg Description generation batch_6a3736b9716881908d7dcc37fd79a89b completed June 21, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_6a37375fecf081908a85fdb46751fc6b completed June 21, 2026, 12:59 a.m.
Created at: May 1, 2026, 1:44 a.m.