Triple

T36285404
Position Surface form Disambiguated ID Type / Status
Subject Anne Tracy Johnston E893066 entity
Predicate memberOf P10 FINISHED
Object Johnston family of Macon, Georgia
The Johnston family of Macon, Georgia is a prominent Southern family known for its social standing and multigenerational ties to the cultural and civic life of Macon.
E2176262 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: Johnston family of Macon, Georgia | Statement: [Anne Tracy Johnston, memberOf, Johnston family of Macon, Georgia]
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: Johnston family of Macon, Georgia
Triple: [Anne Tracy Johnston, memberOf, Johnston family of Macon, Georgia]
Generated description
The Johnston family of Macon, Georgia is a prominent Southern family known for its social standing and multigenerational ties to the cultural and civic life of Macon.

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_69f76e4955c08190b8cfddca34fc0242 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b9e139888190a40a9bf92050dc18 completed May 3, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a396e1cf70c8190a7cee37b74cc47f3 completed June 22, 2026, 5:17 p.m.
NEDg Description generation batch_6a396facb1bc8190a0651b7a41f719cd completed June 22, 2026, 5:23 p.m.
NED2 Entity disambiguation (via description) batch_6a3970784914819086898e230ba5f0f2 completed June 22, 2026, 5:27 p.m.
Created at: May 3, 2026, 4:09 p.m.