Triple

T20877694
Position Surface form Disambiguated ID Type / Status
Subject Booker E514062 entity
Predicate starring P1507 FINISHED
Object Carmen Argenziano
Carmen Argenziano was an American character actor best known for his prolific work in film and television, including notable roles in series like "Stargate SG-1."
E1457266 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: Carmen Argenziano | Statement: [Booker, starring, Carmen Argenziano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmen Argenziano
Context triple: [Booker, starring, Carmen Argenziano]
  • A. Laura Barbieri
    Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
  • B. Maria Tucci
    Maria Tucci is an American actress known for her work in film, television, and theater, often appearing in character-driven dramas.
  • C. Leda Caruso
    Leda Caruso is the complex, introspective protagonist of Elena Ferrante’s novel and its film adaptation "The Lost Daughter," whose troubled reflections on motherhood drive the story.
  • D. Romilda Villani
    Romilda Villani was an Italian actress and the mother of film star Sophia Loren and author Maria Scicolone.
  • E. Rosalinda Celentano
    Rosalinda Celentano is an Italian actress and singer, known internationally for her role as Satan in Mel Gibson’s film "The Passion of the Christ."
  • 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: Carmen Argenziano
Triple: [Booker, starring, Carmen Argenziano]
Generated description
Carmen Argenziano was an American character actor best known for his prolific work in film and television, including notable roles in series like "Stargate SG-1."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carmen Argenziano
Target entity description: Carmen Argenziano was an American character actor best known for his prolific work in film and television, including notable roles in series like "Stargate SG-1."
  • A. Laura Barbieri
    Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
  • B. Maria Tucci
    Maria Tucci is an American actress known for her work in film, television, and theater, often appearing in character-driven dramas.
  • C. Leda Caruso
    Leda Caruso is the complex, introspective protagonist of Elena Ferrante’s novel and its film adaptation "The Lost Daughter," whose troubled reflections on motherhood drive the story.
  • D. Romilda Villani
    Romilda Villani was an Italian actress and the mother of film star Sophia Loren and author Maria Scicolone.
  • E. Rosalinda Celentano
    Rosalinda Celentano is an Italian actress and singer, known internationally for her role as Satan in Mel Gibson’s film "The Passion of the Christ."
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c6767ec0819080721e2e75bd0d66 completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091fb7de50819098e0ef8299156950 completed May 17, 2026, 1:54 a.m.
NEDg Description generation batch_6a092016cc588190a41a0f05cc2afbb4 completed May 17, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0920b3dfac8190a12229c81663b324 completed May 17, 2026, 1:58 a.m.
Created at: April 16, 2026, 12:45 p.m.