Triple

T6043360
Position Surface form Disambiguated ID Type / Status
Subject Bugsy Malone E134601 entity
Predicate producedBy P490 FINISHED
Object Goodtimes Enterprises E134601 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: Goodtimes Enterprises | Statement: [Bugsy Malone, producedBy, Goodtimes Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goodtimes Enterprises
Context triple: [Bugsy Malone, producedBy, Goodtimes Enterprises]
  • A. Goodtimes Enterprises chosen
    Goodtimes Enterprises is a British film production company best known for producing the 1976 musical gangster film "Bugsy Malone."
  • B. Forever Enterprises
    Forever Enterprises is the private company that owns and operates the historic Hollywood Forever Cemetery in Los Angeles.
  • C. Ad Hominem Enterprises
    Ad Hominem Enterprises is a film and television production company associated with projects linked to Cedar Rapids.
  • D. Osterman Weekend Associates
    Osterman Weekend Associates is the production company formed to produce the 1983 thriller film "The Osterman Weekend," directed by Sam Peckinpah.
  • E. Centropolis Entertainment
    Centropolis Entertainment is a film production company co-founded by director Roland Emmerich, best known for producing large-scale science fiction and disaster movies.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e2b1148190908c4dc43abee266 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139b44888190bfa12d19e99ee673 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:08 p.m.