Triple

T8084394
Position Surface form Disambiguated ID Type / Status
Subject The Notebook E188694 entity
Predicate cinematographer 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: [The Notebook, cinematographer, Robert Fraisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Fraisse
Context triple: [The Notebook, cinematographer, 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. Jacques Revaux
    Jacques Revaux is a French songwriter best known for co-composing the classic chanson "Comme d'habitude," which became internationally famous as "My Way."
  • 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb415e61ac81909e924aea69a7ff77 completed March 31, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce88498cf081909c25c292c014fe8c completed April 2, 2026, 3:16 p.m.
Created at: March 30, 2026, 5:29 p.m.