Triple

T26770900
Position Surface form Disambiguated ID Type / Status
Subject Cathedral Basilica of the Assumption E675073 entity
Predicate architect P184 FINISHED
Object David Davis
David Davis was an architect known for designing the Cathedral Basilica of the Assumption in Covington, Kentucky, a prominent example of Gothic Revival church architecture in the United States.
E1774090 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: David Davis | Statement: [Cathedral Basilica of the Assumption, architect, David Davis]
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: David Davis
Triple: [Cathedral Basilica of the Assumption, architect, David Davis]
Generated description
David Davis was an architect known for designing the Cathedral Basilica of the Assumption in Covington, Kentucky, a prominent example of Gothic Revival church architecture in the United States.

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_69eecda85298819097ee1c38a3d772e7 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6192cf3008190b4019bc4c4907a07 completed May 2, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbb78a28819089b380cea9a1651f completed May 24, 2026, 8:49 a.m.
NEDg Description generation batch_6a12bc482bb481908d121283f113dbb8 completed May 24, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_6a12bcd0c164819098f637afcad01642 completed May 24, 2026, 8:54 a.m.
Created at: April 27, 2026, 4:02 a.m.