Triple

T15507552
Position Surface form Disambiguated ID Type / Status
Subject Sandy Lieberson E379121 entity
Predicate founded P104 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: [Sandy Lieberson, founded, Goodtimes Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goodtimes Enterprises
Context triple: [Sandy Lieberson, founded, 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. Big J Enterprises
    Big J Enterprises is a business venture established by entrepreneur and politician Gary Johnson.
  • C. Forever Enterprises
    Forever Enterprises is the private company that owns and operates the historic Hollywood Forever Cemetery in Los Angeles.
  • D. Mr. 305 Inc.
    Mr. 305 Inc. is the independent record label founded by Cuban-American rapper Pitbull to release his music and promote other artists.
  • E. Roving Enterprises
    Roving Enterprises is an Australian television production company best known for creating and producing comedy and talk shows, including programs hosted by comedian Rove McManus.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff366e472c819093472da2a49593c6 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:55 a.m.