Triple

T11624436
Position Surface form Disambiguated ID Type / Status
Subject Sasha Barrese E276225 entity
Predicate familyName P18 FINISHED
Object Barrese
Barrese is a surname most notably associated with American actress and former professional poker player Sasha Barrese.
E938290 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: Barrese | Statement: [Sasha Barrese, familyName, Barrese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barrese
Context triple: [Sasha Barrese, familyName, Barrese]
  • A. De Luca
    De Luca is an Italian surname borne by numerous notable individuals across fields such as film, politics, sports, and the arts.
  • B. Petrosino
    Petrosino is a small coastal town and comune in western Sicily, Italy, known for its agricultural production and seaside location near Marsala.
  • C. Grammichele
    Grammichele is a Sicilian town renowned for its distinctive hexagonal street plan, located in southern Italy.
  • D. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • E. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • 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: Barrese
Triple: [Sasha Barrese, familyName, Barrese]
Generated description
Barrese is a surname most notably associated with American actress and former professional poker player Sasha Barrese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barrese
Target entity description: Barrese is a surname most notably associated with American actress and former professional poker player Sasha Barrese.
  • A. De Luca
    De Luca is an Italian surname borne by numerous notable individuals across fields such as film, politics, sports, and the arts.
  • B. Petrosino
    Petrosino is a small coastal town and comune in western Sicily, Italy, known for its agricultural production and seaside location near Marsala.
  • C. Grammichele
    Grammichele is a Sicilian town renowned for its distinctive hexagonal street plan, located in southern Italy.
  • D. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • E. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a12416908190ac2dcd7f7ebb308f completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87745b388190a78958fa0c08b89b completed April 26, 2026, 9:45 p.m.
NEDg Description generation batch_69eeb3137f4c8190ba8ac48b2cb419b4 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9845bec81909f0f9b005f75249a completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:39 p.m.