Triple

T16649277
Position Surface form Disambiguated ID Type / Status
Subject Paisan E404559 entity
Predicate title P38 FINISHED
Object Paisan E404559 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: Paisan | Statement: [Paisan, title, Paisan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paisan
Context triple: [Paisan, title, Paisan]
  • A. Paisan chosen
    Paisan is a 1946 Italian neorealist war drama film directed by Roberto Rossellini, depicting six episodes set during the Allied invasion of Italy.
  • B. Sholay
    Sholay is a landmark 1975 Indian action-adventure film widely regarded as one of the greatest and most influential movies in Hindi cinema history.
  • C. White Heat
    White Heat is a 1949 American film noir crime drama directed by Raoul Walsh, renowned for James Cagney’s iconic performance as psychotic gangster Cody Jarrett and its explosive finale.
  • D. Fida Cinematografica
    Fida Cinematografica is an Italian film distribution and production company known for handling numerous genre films, including spaghetti westerns, during the 1960s and 1970s.
  • E. The Wages of Fear
    The Wages of Fear is a 1953 French-Italian thriller film directed by Henri-Georges Clouzot, renowned for its intense suspense as desperate men undertake a deadly mission to transport nitroglycerin through treacherous terrain.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad85ec881909dc6a434a363dab1 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c2a8448190a9f05bc7e1ce7a05 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.