Triple

T5143048
Position Surface form Disambiguated ID Type / Status
Subject Mario F. Kassar E116004 entity
Predicate name P16 FINISHED
Object Mario F. Kassar E116004 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: Mario F. Kassar | Statement: [Mario F. Kassar, name, Mario F. Kassar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mario F. Kassar
Context triple: [Mario F. Kassar, name, Mario F. Kassar]
  • A. Mario F. Kassar chosen
    Mario F. Kassar is a Lebanese-American film producer best known for co-founding Carolco Pictures and producing major action franchises such as the Terminator and Rambo series.
  • B. Aurelio De Laurentiis
    Aurelio De Laurentiis is an Italian film producer and prominent football executive best known as the long-time owner and president of SSC Napoli.
  • C. Micky Arison
    Micky Arison is an Israeli-American billionaire businessman best known as the longtime chairman of Carnival Corporation and owner of the NBA’s Miami Heat.
  • D. John Textor
    John Textor is an American businessman and investor known for his ownership stakes and leadership roles in multiple football clubs, including Olympique Lyonnais.
  • E. Dino De Laurentiis
    Dino De Laurentiis was an influential Italian film producer known for his prolific international career and for backing major epics, genre films, and auteur projects from the mid-20th century onward.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7883004881909c763da818d9b6e2 completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfec5c108190a3882c25118179a7 completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:43 p.m.