Triple

T5166535
Position Surface form Disambiguated ID Type / Status
Subject Richard Sale E116573 entity
Predicate directed P7373 FINISHED
Object The French Line E500263 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: The French Line | Statement: [Richard Sale, directed, The French Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The French Line
Context triple: [Richard Sale, directed, The French Line]
  • A. The French Line chosen
    "The French Line" is a 1953 Technicolor musical comedy film starring Jane Russell, best known for its provocative dance numbers and controversial marketing.
  • B. Lignes d’Azur
    Lignes d’Azur is the public transportation network of Nice and its metropolitan area, operating trams and buses across the region.
  • C. The Riviera
    The Riviera is an affluent residential neighborhood in Los Angeles’ Pacific Palisades known for its luxury homes, exclusive country club, and proximity to the Santa Monica Mountains and Pacific Ocean.
  • D. Belgrave line
    The Belgrave line is a suburban railway service in Melbourne, Australia, running from the city’s central business district into the outer eastern suburb of Belgrave.
  • E. Éclat
    Éclat is a 1965 chamber work by Pierre Boulez that explores shimmering timbres, intricate textures, and flexible time through a distinctive ensemble of piano and selected instruments.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792c5ea88190b6aa0e519c744155 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee077effc8190bdd5771db64d1578 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:44 p.m.