Triple

T3416597
Position Surface form Disambiguated ID Type / Status
Subject City on a Hill E72022 entity
Predicate creator P184 FINISHED
Object Charlie MacLean E72022 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: Charlie MacLean | Statement: [City on a Hill, creator, Charlie MacLean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie MacLean
Context triple: [City on a Hill, creator, Charlie MacLean]
  • A. Charlie MacLean chosen
    Charlie MacLean is a television writer and producer best known for creating the crime drama series "City on a Hill."
  • B. Al MacNeil
    Al MacNeil is a Canadian former NHL defenseman and coach best known for leading the Montreal Canadiens to the 1971 Stanley Cup championship.
  • C. Albert Gordon MacRae
    Albert Gordon MacRae was an American actor and singer best known for his leading roles in classic Hollywood musicals such as "Oklahoma!" and "Carousel."
  • D. Stephen MacLean
    Stephen MacLean was an Australian screenwriter and filmmaker best known for his work on music-infused films and television, including the cult musical comedy "Starstruck" (1982).
  • E. Ewen MacIntosh
    Ewen MacIntosh is a British actor and comedian best known for playing the deadpan accountant Keith Bishop in the original UK version of "The Office."
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92ae6148190958d6bb735258cab completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3546c88008190980a51195251af91 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:15 p.m.