Triple

T17919099
Position Surface form Disambiguated ID Type / Status
Subject Maury Gertsman E448016 entity
Predicate employer P7 FINISHED
Object Universal-International 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 | Statement: [Maury Gertsman, employer, Universal-International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Universal-International
Context triple: [Maury Gertsman, employer, 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. Internationale
    Internationale is a famous socialist and communist anthem that became a global rallying song for workers’ movements and leftist revolutions.
  • E. International
    International is a historic American brand best known for its trucks and agricultural machinery, originally developed under International Harvester.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30844548190b7a43c2f093f35d7 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.