Triple

T6449155
Position Surface form Disambiguated ID Type / Status
Subject Pillow Talk E139818 entity
Predicate distributedBy P1951 FINISHED
Object Universal-International E315131 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: Universal-International | Statement: [Pillow Talk, distributedBy, Universal-International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universal-International
Context triple: [Pillow Talk, distributedBy, Universal-International]
  • A. Universal-International chosen
    Universal-International was a major mid-20th-century American film studio formed by the merger of Universal Pictures and International Pictures, known for producing a wide range of Hollywood features during the 1940s and 1950s.
  • B. Universal
    Universal is a major global entertainment company best known for its influential film studio and music distribution operations.
  • C. Universal
    Universal is a major entertainment brand best known for its global theme parks, resorts, and immersive attractions based on popular films and franchises.
  • D. Worldwide
    Worldwide is a global hospitality and lifestyle brand associated with the W New York hotel.
  • E. Global
    Global is a major UK-based media and entertainment company best known for owning and operating prominent radio brands and digital audio platforms.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b1a61c81908610264c098d25b0 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd290c481909f543cc03eee98bf completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:47 p.m.