Triple

T10010017
Position Surface form Disambiguated ID Type / Status
Subject The Lemon Drop Kid E198346 entity
Predicate productionCompany P490 FINISHED
Object Hope Enterprises E651208 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: Hope Enterprises | Statement: [The Lemon Drop Kid, productionCompany, Hope Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hope Enterprises
Context triple: [The Lemon Drop Kid, productionCompany, Hope Enterprises]
  • A. Hope Enterprises chosen
    Hope Enterprises was a film production company associated with comedian Bob Hope that produced several of his mid-20th-century movies.
  • B. Lee Enterprises
    Lee Enterprises is a major American media company that owns and operates numerous newspapers and digital publications across the United States.
  • C. Argyle Enterprises
    Argyle Enterprises is a film production company best known for its involvement in classic mid-20th-century cinema, including the 1963 horror film "The Haunting."
  • D. Forever Enterprises
    Forever Enterprises is the private company that owns and operates the historic Hollywood Forever Cemetery in Los Angeles.
  • E. Memorial Enterprises
    Memorial Enterprises was a British film production company known for backing several notable films in the 1960s and 1970s.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd39e074819097f77a4d4bf7856e completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a7265b88190b69e7869a96bb404 completed April 5, 2026, 1:58 p.m.
Created at: March 30, 2026, 8:52 p.m.