Triple

T1367179
Position Surface form Disambiguated ID Type / Status
Subject Sala Regia E30029 entity
Predicate decoratedBy P23430 FINISHED
Object Livio Agresti
Livio Agresti was a 16th-century Italian Mannerist painter known for his religious and decorative frescoes in prominent Roman churches and palaces.
E234336 NE FINISHED

How this triple was built (4 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: Livio Agresti | Statement: [Sala Regia, decoratedBy, Livio Agresti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livio Agresti
Context triple: [Sala Regia, decoratedBy, Livio Agresti]
  • A. Ignazio La Russa
    Ignazio La Russa is an Italian right-wing politician and lawyer who has held prominent roles in national politics, including serving as President of the Senate.
  • B. Arturo Giovannitti
    Arturo Giovannitti was an Italian-American poet, labor leader, and prominent organizer in the early 20th-century U.S. labor movement.
  • C. Ignazio Marino
    Ignazio Marino is an Italian surgeon and politician who served as the Mayor of Rome from 2013 to 2015.
  • D. Giuseppe Gabrielli
    Giuseppe Gabrielli was an Italian aeronautical engineer best known for designing several important military aircraft for Fiat before and during World War II.
  • E. Giovanni Molari
    Giovanni Molari is an Italian academic and engineer who serves as rector of the historic University of Bologna.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Livio Agresti
Triple: [Sala Regia, decoratedBy, Livio Agresti]
Generated description
Livio Agresti was a 16th-century Italian Mannerist painter known for his religious and decorative frescoes in prominent Roman churches and palaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Livio Agresti
Target entity description: Livio Agresti was a 16th-century Italian Mannerist painter known for his religious and decorative frescoes in prominent Roman churches and palaces.
  • A. Ignazio La Russa
    Ignazio La Russa is an Italian right-wing politician and lawyer who has held prominent roles in national politics, including serving as President of the Senate.
  • B. Arturo Giovannitti
    Arturo Giovannitti was an Italian-American poet, labor leader, and prominent organizer in the early 20th-century U.S. labor movement.
  • C. Ignazio Marino
    Ignazio Marino is an Italian surgeon and politician who served as the Mayor of Rome from 2013 to 2015.
  • D. Giuseppe Gabrielli
    Giuseppe Gabrielli was an Italian aeronautical engineer best known for designing several important military aircraft for Fiat before and during World War II.
  • E. Giovanni Molari
    Giovanni Molari is an Italian academic and engineer who serves as rector of the historic University of Bologna.
  • F. None of above. chosen

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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c48e6534819090d23f3cc25093ae completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae3037944c8190b2ced5f5ca539260 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3149922c819085fb2af51d53304c completed March 9, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69ae31a67eb08190a3ef64e83301fabc completed March 9, 2026, 2:34 a.m.
Created at: March 1, 2026, 7:57 p.m.