Triple

T19876508
Position Surface form Disambiguated ID Type / Status
Subject United International Pictures E477650 entity
Predicate hasAlternativeName P39 FINISHED
Object UIP 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: UIP | Statement: [United International Pictures, hasAlternativeName, UIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UIP
Context triple: [United International Pictures, hasAlternativeName, UIP]
  • A. UIP chosen
    UIP (United International Pictures) is a major international film distribution company that has historically handled overseas releases for major Hollywood studios such as Paramount and Universal.
  • B. UIF
    UIF is Mexico’s Financial Intelligence Unit responsible for analyzing and combating money laundering and terrorist financing through oversight of financial operations.
  • C. UIL
    UIL (University Interscholastic League) is a Texas-based organization that oversees and regulates academic, athletic, and music competitions for public primary and secondary schools.
  • D. UIII
    UIII is the ICAO airport code for Irkutsk International Airport, a major airport serving the city of Irkutsk in eastern Siberia, Russia.
  • E. UIT
    UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dbdb648190b423865e7994a8fe completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.