Triple

T2854408
Position Surface form Disambiguated ID Type / Status
Subject To the Wonder E63165 entity
Predicate distributedBy P1951 FINISHED
Object Magnolia Pictures E242681 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: Magnolia Pictures | Statement: [To the Wonder, distributedBy, Magnolia Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magnolia Pictures
Context triple: [To the Wonder, distributedBy, Magnolia Pictures]
  • A. Magnolia Pictures chosen
    Magnolia Pictures is an American independent film distribution company known for releasing a wide range of arthouse, documentary, and foreign films.
  • B. Gramercy Pictures
    Gramercy Pictures was an American film production and distribution company known for releasing acclaimed independent and specialty films in the 1990s.
  • C. Annapurna Pictures
    Annapurna Pictures is an American film production company known for backing critically acclaimed, auteur-driven movies such as "Her," "Zero Dark Thirty," and "American Hustle."
  • D. Redbud Pictures
    Redbud Pictures is a film production company known for working on Terrence Malick’s romantic drama "To the Wonder."
  • E. Momentum Pictures
    Momentum Pictures is a UK-based film distribution company known for releasing a wide range of independent and award-winning movies.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03141ec9c8190b8163fdfc00c1ee3 completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:02 p.m.