Triple

T20929287
Position Surface form Disambiguated ID Type / Status
Subject Timeline (film) E515424 entity
Predicate productionCompany P490 FINISHED
Object MNP Entreprise 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: MNP Entreprise | Statement: [Timeline (film), productionCompany, MNP Entreprise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MNP Entreprise
Context triple: [Timeline (film), productionCompany, MNP Entreprise]
  • A. MNP Entreprise chosen
    MNP Entreprise is a film production company known for working on the crime-comedy sequel "The Whole Ten Yards."
  • B. MNP
    MNP is the three-letter ISO 3166-1 alpha-3 country code assigned to the Northern Mariana Islands.
  • C. MNP
    MNP was a Turkish Islamist political party formally known as the National Order Party.
  • D. Groupe GTM
    Groupe GTM was a major French construction and civil engineering company that later became part of the Vinci SA group.
  • E. Printemps Group
    Printemps Group is a French retail company best known for operating the historic Printemps department stores, including the flagship Printemps Haussmann in Paris.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f6545f8c81908a8c2f0e8d7b060e completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.