Triple

T20741255
Position Surface form Disambiguated ID Type / Status
Subject The Paperboy E510445 entity
Predicate productionCompany P490 FINISHED
Object Nu Image NE NERFINISHED

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: Nu Image | Statement: [The Paperboy, productionCompany, Nu Image]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nu Image
Context triple: [The Paperboy, productionCompany, Nu Image]
  • A. Nu Image chosen
    Nu Image is a film production company known for producing a wide range of genre movies, including action, thriller, and crime dramas.
  • B. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • C. Imajica
    Imajica is an epic dark fantasy novel by Clive Barker that explores parallel worlds, complex theology, and transformative love through a vast, metaphysical narrative.
  • D. Nue
    Nue is a studio album by Belgian-Canadian singer Lara Fabian that showcases her emotive pop style and powerful vocal performances.
  • E. WireImage
    WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20e76ac8190985203b2c17aca14 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:32 p.m.