Triple

T16850377
Position Surface form Disambiguated ID Type / Status
Subject Rideback E409657 entity
Predicate hasAlternativeName P39 FINISHED
Object Lin Pictures E586637 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: Lin Pictures | Statement: [Rideback, hasAlternativeName, Lin Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lin Pictures
Context triple: [Rideback, hasAlternativeName, Lin Pictures]
  • A. Lin Pictures chosen
    Lin Pictures is an American film and television production company founded by producer Dan Lin, known for projects such as the Sherlock Holmes films and The Lego Movie.
  • B. Pretty Pictures
    Pretty Pictures is a film production company known for producing feature films such as the drama "News of the World."
  • C. Gravity Pictures
    Gravity Pictures is a Chinese film production company known for co-producing major international releases, including the sci-fi action thriller "The Meg."
  • D. Twisted Pictures
    Twisted Pictures is an American film production company best known for producing the Saw horror franchise and other genre films.
  • E. The Naked Shit Pictures
    The Naked Shit Pictures is a provocative and controversial series of large-scale photographic artworks by the British artist duo Gilbert & George, known for its explicit imagery and exploration of taboo subjects.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b378dda48190ab81d75f2cfe3ab3 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a4c2a881908d2797f6e61792d3 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.