Triple

T15345835
Position Surface form Disambiguated ID Type / Status
Subject Greenland (film) E366913 entity
Predicate productionCompany P490 FINISHED
Object Thunder Road Films E65181 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: Thunder Road Films | Statement: [Greenland (film), productionCompany, Thunder Road Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunder Road Films
Context triple: [Greenland (film), productionCompany, Thunder Road Films]
  • A. Thunder Road Pictures chosen
    Thunder Road Pictures is an American film production company known for producing high-octane action movies, including the John Wick franchise.
  • B. Open Road Films
    Open Road Films is an American independent film distribution company known for releasing a range of mid-budget and specialty films in theaters.
  • C. Broken Road Productions
    Broken Road Productions is an American film and television production company known for producing mainstream genre movies, including action, comedy, and disaster films.
  • D. Crossroads Films
    Crossroads Films is a film and commercial production company known for producing independent features and high-end advertising content.
  • E. Main Street Films
    Main Street Films is an independent film production company known for backing feature films such as the action-comedy "Barely Lethal."
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f931408190828d87567cecaceb completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.