Triple

T6139885
Position Surface form Disambiguated ID Type / Status
Subject You Give a Little Love E136933 entity
Predicate productionCompanyOfFilm P14415 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: [You Give a Little Love, productionCompanyOfFilm, Goodtimes Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goodtimes Enterprises
Context triple: [You Give a Little Love, productionCompanyOfFilm, 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb030fc8190b78e4967eea65611 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135ecd62c8190911b98133bf71dfc completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:15 p.m.