Triple

T5705993
Position Surface form Disambiguated ID Type / Status
Subject I Am Legend (film) E125784 entity
Predicate productionCompany P490 FINISHED
Object Weed Road Pictures E69027 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: Weed Road Pictures | Statement: [I Am Legend (film), productionCompany, Weed Road Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weed Road Pictures
Context triple: [I Am Legend (film), productionCompany, Weed Road Pictures]
  • A. Weed Road Pictures chosen
    Weed Road Pictures is a film and television production company founded by producer Akiva Goldsman, known for backing a range of major Hollywood genre and franchise projects.
  • B. Thunder Road Pictures
    Thunder Road Pictures is an American film production company known for producing high-octane action movies, including the John Wick franchise.
  • C. 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.
  • D. Roadside Attractions
    Roadside Attractions is an American independent film distribution company known for releasing specialty and arthouse films to theatrical audiences.
  • E. MadRiver Pictures
    MadRiver Pictures is a film production company known for financing and producing high-profile, director-driven feature films.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02459cd18819080fda0b481d11f08 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a666d788190a0f786d12391a44b completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:45 p.m.