Triple

T12755456
Position Surface form Disambiguated ID Type / Status
Subject Nadine Caridi E304847 entity
Predicate name P16 FINISHED
Object Nadine Caridi E304847 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: Nadine Caridi | Statement: [Nadine Caridi, name, Nadine Caridi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadine Caridi
Context triple: [Nadine Caridi, name, Nadine Caridi]
  • A. Nadine Caridi chosen
    Nadine Caridi is a British-born former model and licensed marriage and family therapist best known as the ex-wife of stockbroker Jordan Belfort, whose life inspired the film "The Wolf of Wall Street."
  • B. Lisa Vultaggio
    Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
  • C. Elaine Nardo
    Elaine Nardo is a central character on the classic American sitcom "Taxi," portrayed as a single mother working as a part-time cab driver while pursuing a better life.
  • D. Maria Colacurcio
    Maria Colacurcio is an American technology executive and entrepreneur best known as a co-founder of Smartsheet and for her leadership roles in data-driven workplace equity and HR tech companies.
  • E. Lisa Loiacono
    Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8b57b88190b29b8fdca415c81c completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72658fa6c81909b9785d710c418e0 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 5:27 p.m.