Triple

T18690918
Position Surface form Disambiguated ID Type / Status
Subject Trabucco E456996 entity
Predicate portrayedBy P1507 FINISHED
Object Lino Ventura NE NERFINISHED

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: Lino Ventura | Statement: [Trabucco, portrayedBy, Lino Ventura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lino Ventura
Context triple: [Trabucco, portrayedBy, Lino Ventura]
  • A. Lino Ventura chosen
    Lino Ventura was an Italian-born French actor renowned for his tough-guy roles in classic crime and drama films of the mid-20th century.
  • B. Henry Silva
    Henry Silva was an American character actor known for his intense, often villainous roles in films such as "The Manchurian Candidate" and numerous crime and action movies from the 1950s through the 1990s.
  • C. Mel Ferrer
    Mel Ferrer was an American actor, director, and producer known for his work in classic Hollywood films and his marriage to Audrey Hepburn.
  • D. Vincent DeGiorgio
    Vincent DeGiorgio is a Canadian music producer, songwriter, and music executive known for his work in pop and dance music internationally.
  • E. Jose Pablo Cantillo
    Jose Pablo Cantillo is an American actor best known for his supporting roles in action films and television series such as "Crank" and "The Walking Dead."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e3a6d08190b2409bcbf0c42444 completed April 19, 2026, 11:18 p.m.
Created at: April 10, 2026, 11:49 a.m.