Triple

T13694028
Position Surface form Disambiguated ID Type / Status
Subject Tim Story E328339 entity
Predicate notableWork P4 FINISHED
Object Taxi (2004 film) E55553 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: Taxi (2004 film) | Statement: [Tim Story, notableWork, Taxi (2004 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taxi (2004 film)
Context triple: [Tim Story, notableWork, Taxi (2004 film)]
  • A. Taxi (2004 film) chosen
    Taxi (2004 film) is an American action-comedy movie about a speedy New York City cab driver who teams up with a bumbling cop to catch a gang of bank robbers.
  • B. Taxi 2
    Taxi 2 is a 2000 French action-comedy film and sequel in the Taxi franchise, known for its high-speed car chases and humorous storyline set in Marseille.
  • C. Taxi 3
    Taxi 3 is a 2003 French action-comedy film in the Taxi franchise, following Marseille’s speed-obsessed taxi driver and a bumbling police inspector as they take on a gang of high-tech bank robbers.
  • D. Taxi 4
    Taxi 4 is a 2007 French action-comedy film in the Taxi franchise, following Marseille taxi driver Daniel and his police friend Émilien as they bungle the transfer of a dangerous criminal.
  • E. Taxi 5
    Taxi 5 is a 2018 French action-comedy film that continues the high-speed, humor-filled adventures of Marseille taxi drivers in the popular Taxi franchise.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944e7ea0819098a9fbf8842d314b completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.