Triple

T22100920
Position Surface form Disambiguated ID Type / Status
Subject The Man in the White Suit E546168 entity
Predicate distributor P1951 FINISHED
Object Universal-International (United States) 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: Universal-International (United States) | Statement: [The Man in the White Suit, distributor, Universal-International (United States)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universal-International (United States)
Context triple: [The Man in the White Suit, distributor, Universal-International (United States)]
  • 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. US-ME
    US-ME is the ISO 3166-2 code representing the U.S. state of Maine.
  • C. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • D. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • E. US
    The US, or United States, is a federal republic in North America comprising 50 states and known as one of the world's largest economic and military powers.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.