Triple

T25681638
Position Surface form Disambiguated ID Type / Status
Subject Sangallo family E643954 entity
Predicate hasMember P10 FINISHED
Object Francesco da Sangallo
Francesco da Sangallo was a 16th-century Italian Renaissance sculptor and architect from the prominent Sangallo family, known for his religious sculptures and contributions to Florentine art and architecture.
E1730665 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: Francesco da Sangallo | Statement: [Sangallo family, hasMember, Francesco da Sangallo]
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: Francesco da Sangallo
Triple: [Sangallo family, hasMember, Francesco da Sangallo]
Generated description
Francesco da Sangallo was a 16th-century Italian Renaissance sculptor and architect from the prominent Sangallo family, known for his religious sculptures and contributions to Florentine art and architecture.

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_69e77e8046888190b07ffa58c7e2c37a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fb794ba48190bc8f3f503ee7cf01 completed May 2, 2026, 1:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c7e431048190ba02f0754703b0b0 completed May 23, 2026, 3:29 p.m.
NEDg Description generation batch_6a11c8d922608190b7b1d32a42e986d5 completed May 23, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_6a11c99a6eec81909171f7d03a056fc8 completed May 23, 2026, 3:36 p.m.
Created at: April 21, 2026, 8:01 p.m.