Triple

T9390256
Position Surface form Disambiguated ID Type / Status
Subject Luis Bacalov E226009 entity
Predicate collaboratedWith P435 FINISHED
Object Sergio Corbucci E513874 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: Sergio Corbucci | Statement: [Luis Bacalov, collaboratedWith, Sergio Corbucci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergio Corbucci
Context triple: [Luis Bacalov, collaboratedWith, Sergio Corbucci]
  • A. Sergio Corbucci chosen
    Sergio Corbucci was an influential Italian film director and screenwriter, best known for his violent, stylized Spaghetti Westerns such as "Django."
  • B. Eusebio Bava
    Eusebio Bava was a 19th-century Italian general and statesman who played a key role in the military campaigns leading up to the unification of Italy.
  • C. Sergio Leone
    Sergio Leone was an Italian film director and screenwriter best known for pioneering the Spaghetti Western genre with stylistically innovative films such as the "Dollars Trilogy" and "Once Upon a Time in the West."
  • D. Jorge Bava
    Jorge Bava is a Uruguayan former professional goalkeeper who became a football manager, known for coaching clubs in Latin American leagues.
  • E. Jean Mascolo
    Jean Mascolo is the son of renowned French writer and filmmaker Marguerite Duras and has worked as a filmmaker and documentarian.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd510d7a9c8190a74ccdb5478dedc9 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100f86bac8190a26ab156f24455bb completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:45 p.m.