Triple

T6576470
Position Surface form Disambiguated ID Type / Status
Subject Eduardo Ciannelli E157175 entity
Predicate familyName P18 FINISHED
Object Ciannelli
Ciannelli is an Italian surname most notably associated with Eduardo Ciannelli, an Italian-American character actor known for his roles in early 20th-century cinema.
 E602352 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: Ciannelli | Statement: [Eduardo Ciannelli, familyName, Ciannelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ciannelli
Context triple: [Eduardo Ciannelli, familyName, Ciannelli]
  • A. Petrillo
    Petrillo is an Italian-origin surname most notably associated with the fictional character Sophia Petrillo from the television series "The Golden Girls."
  • B. Boselli
    Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
  • C. Nicolosi
    Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
  • D. Carpinetani
    The Carpinetani are the inhabitants or natives of Carpineto Romano, a town in the Lazio region of central Italy.
  • E. La Grassa
    La Grassa is a famous nickname for the Italian city of Bologna, highlighting its rich culinary tradition and renowned food culture.
  • 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: Ciannelli
Triple: [Eduardo Ciannelli, familyName, Ciannelli]
Generated description
Ciannelli is an Italian surname most notably associated with Eduardo Ciannelli, an Italian-American character actor known for his roles in early 20th-century cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ciannelli
Target entity description: Ciannelli is an Italian surname most notably associated with Eduardo Ciannelli, an Italian-American character actor known for his roles in early 20th-century cinema.
  • A. Petrillo
    Petrillo is an Italian-origin surname most notably associated with the fictional character Sophia Petrillo from the television series "The Golden Girls."
  • B. Boselli
    Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
  • C. Nicolosi
    Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
  • D. Carpinetani
    The Carpinetani are the inhabitants or natives of Carpineto Romano, a town in the Lazio region of central Italy.
  • E. La Grassa
    La Grassa is a famous nickname for the Italian city of Bologna, highlighting its rich culinary tradition and renowned food culture.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae7399488190b5f6948c60188aec completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cba0182c8190a30bc5e6fea4680e completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd071be4819090d6adf0e27c99d2 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce04855481908bfca416fda8c218 completed March 27, 2026, 6:35 p.m.
Created at: March 27, 2026, 1:54 p.m.