Triple

T12869202
Position Surface form Disambiguated ID Type / Status
Subject Monkey Man E307802 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: [Monkey Man, productionCompany, Thunder Road Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunder Road Films
Context triple: [Monkey Man, 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. Crossroads Films
    Crossroads Films is a film and commercial production company known for producing independent features and high-end advertising content.
  • D. Main Street Films
    Main Street Films is an independent film production company known for backing feature films such as the action-comedy "Barely Lethal."
  • E. Roadside Attractions
    Roadside Attractions is an American independent film distribution company known for releasing specialty and arthouse films to theatrical audiences.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55161a881908d767653c17d3acc completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:38 p.m.