Triple

T18789981
Position Surface form Disambiguated ID Type / Status
Subject Lola (1961 film) E459483 entity
Predicate distributor P1951 FINISHED
Object Cinédis 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: Cinédis | Statement: [Lola (1961 film), distributor, Cinédis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinédis
Context triple: [Lola (1961 film), distributor, Cinédis]
  • A. Cinédis chosen
    Cinédis is a French film distribution company known for releasing numerous European films, particularly in the mid-20th century.
  • B. Tissi
    Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
  • C. Chenoui
    Chenoui is a Berber (Amazigh) language variety spoken by the Shenwa people in northern Algeria.
  • D. Larimna
    Larimna was an ancient Greek city of Opuntian Locris, situated on the coast of central Greece.
  • E. Maoutia
    Maoutia is a small genus of flowering plants in the nettle family Urticaceae, native to parts of Asia and the Pacific.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5978599008190aaceaff1b1e0a2c7 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:53 a.m.