Triple

T18007827
Position Surface form Disambiguated ID Type / Status
Subject Luca Calvani E430800 entity
Predicate notableWork P4 FINISHED
Object The International 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: The International | Statement: [Luca Calvani, notableWork, The International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The International
Context triple: [Luca Calvani, notableWork, The International]
  • A. The International chosen
    The International is a 2009 political thriller film about an Interpol agent uncovering a powerful bank’s involvement in global arms trading and corruption.
  • B. Aux quatre coins du monde
    Aux quatre coins du monde is a literary work by French actress and novelist Anne Wiazemsky, reflecting her characteristic introspective and autobiographical style.
  • C. Die Welt
    Die Welt is a major German national daily newspaper known for its coverage of politics, business, and international affairs.
  • D. Standard of the World
    "Standard of the World" was a historic Cadillac advertising slogan that positioned the brand as the benchmark for luxury and automotive excellence.
  • E. In the World
    "In the World" is a novel by Russian writer Maksim Gorky that continues the semi-autobiographical story of a young boy’s harsh upbringing and moral awakening in late 19th-century Russia.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51d44088190bfcd35e532a4c02a completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.