Triple

T25363008
Position Surface form Disambiguated ID Type / Status
Subject Berry Hill Plantation E636021 entity
Predicate previousOwner P347 FINISHED
Object Isaac Coles
Isaac Coles was an 18th-century Virginia planter and politician who served in the U.S. House of Representatives and was part of the region’s influential slaveholding elite.
E1674498 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: Isaac Coles | Statement: [Berry Hill Plantation, previousOwner, Isaac Coles]
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: Isaac Coles
Triple: [Berry Hill Plantation, previousOwner, Isaac Coles]
Generated description
Isaac Coles was an 18th-century Virginia planter and politician who served in the U.S. House of Representatives and was part of the region’s influential slaveholding elite.

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_69e75a9b7cf481909f2dcdfb37d95ca7 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f4a10c2bec8190826d4e36288068a4 completed May 1, 2026, 12:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10760393cc8190994843c958e22a85 completed May 22, 2026, 3:28 p.m.
NEDg Description generation batch_6a1076d69a948190a72c4e681021150c completed May 22, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_6a10776edaf8819086cfe23f2dea8a29 completed May 22, 2026, 3:34 p.m.
Created at: April 21, 2026, 1:36 p.m.