Triple

T19781873
Position Surface form Disambiguated ID Type / Status
Subject The Train (1964 film) E475154 entity
Predicate basedOnAuthor P2806 FINISHED
Object Rose Valland 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: Rose Valland | Statement: [The Train (1964 film), basedOnAuthor, Rose Valland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose Valland
Context triple: [The Train (1964 film), basedOnAuthor, Rose Valland]
  • A. Rose Valland chosen
    Rose Valland was a French art historian and Resistance member who secretly documented Nazi art looting during World War II, helping to recover thousands of stolen artworks after the war.
  • B. Bernard Vonderschmitt
    Bernard Vonderschmitt was an American engineer and entrepreneur best known as the co-founder and early leader of Xilinx, a pioneering company in field-programmable gate array (FPGA) technology.
  • C. Marie-Laure Reyre
    Marie-Laure Reyre is a film producer best known for her work on the 1981 psychological horror film "Possession."
  • D. Hélène Rey
    Hélène Rey is a prominent French economist known for her influential research on international macroeconomics, global financial cycles, and exchange rate dynamics.
  • E. Odile Mallet
    Odile Mallet is an actress known for her role in the visually distinctive French science-fiction film "The City of Lost Children."
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653846a248190adc4afe0dc29a402 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.