Triple

T12996176
Position Surface form Disambiguated ID Type / Status
Subject Lorenzo di Bonaventura E322038 entity
Predicate founded P104 FINISHED
Object di Bonaventura Pictures E322044 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: di Bonaventura Pictures | Statement: [Lorenzo di Bonaventura, founded, di Bonaventura Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: di Bonaventura Pictures
Context triple: [Lorenzo di Bonaventura, founded, di Bonaventura Pictures]
  • A. Di Bonaventura Pictures chosen
    Di Bonaventura Pictures is an American film and television production company founded by producer Lorenzo di Bonaventura, known for backing large-scale action and genre franchises.
  • B. Di Novi Pictures
    Di Novi Pictures is an American film production company founded by producer Denise Di Novi, known for its work on character-driven dramas and literary adaptations.
  • C. Electric Pictures
    Electric Pictures is a film and television production company known for its work on the feature film "Hotel Mumbai."
  • D. Siren Pictures
    Siren Pictures is a South Korean television and film production company best known internationally for producing the hit Netflix series "Squid Game."
  • E. Magnolia Pictures
    Magnolia Pictures is an American independent film distribution company known for releasing a wide range of arthouse, documentary, and foreign 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7980288190a9fe629a8cc76a52 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0fe9d608190b9d503f4da1fe0c0 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:45 p.m.