Triple

T28286065
Position Surface form Disambiguated ID Type / Status
Subject Pompeo da Fano E713283 entity
Predicate notableStudent P4838 FINISHED
Object Taddeo Zuccaro
Taddeo Zuccaro was a prominent 16th-century Italian Mannerist painter known for his frescoes and influential role in Roman artistic circles.
 E1813810 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: Taddeo Zuccaro | Statement: [Pompeo da Fano, notableStudent, Taddeo Zuccaro]
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: Taddeo Zuccaro
Triple: [Pompeo da Fano, notableStudent, Taddeo Zuccaro]
Generated description
Taddeo Zuccaro was a prominent 16th-century Italian Mannerist painter known for his frescoes and influential role in Roman artistic circles.

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_69efb52371d88190a1381c4e58a3b731 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6447f85248190b71fc247d284971d completed May 2, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1627a4f7b08190b8974858402fbaf2 completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a1628f366d88190b10dda8b0ab63762 completed May 26, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_6a16297370d08190a0088aa14476bb1f completed May 26, 2026, 11:14 p.m.
Created at: April 27, 2026, 11:26 p.m.