Triple

T4626117
Position Surface form Disambiguated ID Type / Status
Subject Seven Years in Tibet E101100 entity
Predicate cinematography P1953 FINISHED
Object Robert Fraisse E34846 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: Robert Fraisse | Statement: [Seven Years in Tibet, cinematography, Robert Fraisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Fraisse
Context triple: [Seven Years in Tibet, cinematography, Robert Fraisse]
  • A. Robert Fraisse chosen
    Robert Fraisse is a French cinematographer known for his visually striking work on international films, including major war dramas and action features.
  • B. J. André Fouilhoux
    J. André Fouilhoux was a French-born American architect known for his influential modernist designs in the early 20th century, particularly in New York City.
  • C. Alexandre de Franceschi
    Alexandre de Franceschi is a film editor known for his work on the movie "Lion."
  • D. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • E. Charles Jonnart
    Charles Jonnart was a French politician and statesman of the Third Republic, known for his ministerial roles and influence in centrist republican politics.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2437136f48190b34454ce77397daf completed March 24, 2026, 7:55 a.m.
Created at: March 20, 2026, 1:13 p.m.